ASP.NET Developers Jobs in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><u>About the job</u></span></span></span><p><span><span>As a </span></span><b><span><span>UI/UX Designer</span></span></b><span><span> at Aspire, you will be responsible for creating intuitive, user-centered digital experiences that align with business goals and customer needs. You will conduct user research, transform insights into engaging designs, and collaborate with cross-functional teams to deliver high-quality products across web and mobile platforms.</span></span></p><br><span><span><u>What You'll Do</u></span></span><ul><li><span><span>Conduct user research and translate insights into user flows, wireframes, mockups, prototypes, and customer journey maps.</span></span></li><li><span><span>Design intuitive and responsive user interfaces optimized for web and mobile applications.</span></span></li><li><span><span>Create user stories, interaction flows, and design specifications for development teams.</span></span></li><li><span><span>Identify usability issues and propose effective, user-centered design solutions.</span></span></li><li><span><span>Apply UX best practices through rapid prototyping, usability testing, A/B testing, and iterative design improvements.</span></span></li><li><span><span>Collaborate closely with product managers, developers, business stakeholders, and clients throughout the design lifecycle.</span></span></li><li><span><span>Ensure designs follow accessibility, responsiveness, and modern UI/UX standards.</span></span></li><li><span><span>Present design concepts and communicate design decisions effectively to stakeholders.</span></span></li><li><span><span>Maintain design systems and contribute to a consistent user experience across products.</span></span></li><li><span><span>Stay current with UX trends, design tools, and emerging technologies to drive continuous improvement.</span></span></li></ul><span><span><u>What You'll Need</u></span></span><ul><li><span><span>Bachelor's degree in Graphic Design, Human-Computer Interaction, Computer Science, or a related field.</span></span></li><li><span><span>3–6 years of experience in UI/UX design, preferably within enterprise or digital product environments.</span></span></li><li><span><span>Strong proficiency in Figma, Sketch, or similar design tools.</span></span></li><li><span><span>Experience designing responsive, mobile-first user experiences.</span></span></li><li><span><span>Strong understanding of User-Centered Design (UCD), design thinking, usability testing, A/B testing, heuristic evaluation, and accessibility.</span></span></li><li><span><span>Experience creating wireframes, prototypes, user journeys, and interactive designs.</span></span></li><li><span><span>Basic knowledge of HTML5, CSS3, and JavaScript is a plus.</span></span></li><li><span><span>Ability to collaborate with cross-functional teams and translate business requirements into user-focused designs.</span></span></li><li><span><span>Excellent communication, presentation, and stakeholder management skills.</span></span></li><li><span><span>Banking, FinTech, or large-scale enterprise experience is preferred.</span></span></li><li><span><span>Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar.</span></span></li><li><span><span>Strong attention to detail, creativity, and commitment to quality.</span></span></li></ul><span><span><u>Why Aspire</u></span></span><p><span><span>In addition to a competitive long-term total compensation with salary and performance-based bonus, we have a reward philosophy that expands beyond this.</span></span></p><br><ul><li><span><span>Be part of a (Remote is here-to stay) organization.</span></span></li><li><span><span>Work and learn from great minds.</span></span></li><li><span><span>Explore new opportunities to learn and grow every day by attending technical and non-technical training.</span></span></li><li><span><span>Get market exposure by working with international tech leaders.</span></span></li><li><span><span>Nursery reimbursement benefit.</span></span></li><li><span><span>Attend virtual and onsite international tech conferences.</span></span></li><li><span><span>Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC.</span></span></li></ul><br><span>Requirements</span><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.</p><p>Work Location HQA and open for remote consultancy in the UNRWA fields of operation Expected duration 12 months</p><p>Duties and Responsibilities</p><p>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to:</p><ul><li>Analyze business requirements and translate them into technical BI and AI solutions.</li><li>Design and develop dimensional data warehouse models and analytical/semantic models.</li><li>Design and develop OLAP cubes and support database objects.</li><li>Develop, maintain, and optimize ETL/ELT processes and data integration solutions.</li><li>Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards.</li><li>Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions.</li><li>Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities.</li><li>Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture.</li><li>Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support.</li><li>Provide technical guidance and knowledge transfer to BI developers and relevant technical staff.</li><li>Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals.</li><li>Perform other related duties as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline.</li><li>Minimum seven (6) years of relevant professional experience.</li><li>Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies.</li><li>Extensive experience with Microsoft Power BI.</li><li>Extensive experience with SQL Server, SQL development, and database scripting.</li><li>Strong experience in Data Warehouse design and dimensional modelling.</li><li>Strong experience in ETL/ELT development and data integration.</li><li>Strong experience writing DAX and SQL.</li><li>Experience with Microsoft SSIS and SSAS.</li><li>Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions.</li><li>Experience translating business requirements into analytical solutions.</li><li>Experience preparing technical documentation.</li><li>Experience with Microsoft Azure and/or Microsoft Fabric is desirable</li><li>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.</li></ul>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the Role <br> <p><span>We are looking for a highly motivated and passionate candidate to </span><span>contributes primarily to the back-end development track — supporting the design, development, and sustained delivery of server-side services, APIs, data infrastructure, and telecom integration layers that power the division's solutions. Executes assigned development tasks under the technical guidance and direction of the Division Leader, progressively building depth across the division's technology stack while contributing to code quality, testing, and documentation.</span></p><br><p><span>Main Responsibilities, will include but will not be limited to:</span></p><br><ul><li><p><span>Study business and sales requirements and subsequently develop them into back-end solutions, as well as test and integrate them with current systems, contributing to the optimization of implemented systems</span></p><br></li><li><p><span>Monitor the performance of servers and applications and ensure the day-to-day smooth running of systems, supporting proper utilization in line with the function's requirements and overall business objectives.</span></p><br></li><li><p><span>Develop technical solutions, platforms, and changes based on business or technical needs</span></p><br></li><li><p><span>Develop programs and integration back-ends for Business Support Systems and Customer Care Applications and touchpoints, including FTTH Contractors, Corporate SMS, CMS back-ends, CMS adapters, HR Solutions, Commission Engines, CDRs back-ends, and similar systems.</span></p><br></li><li><p><span>Work alongside front-end and mobile developers within the division to implement the back-ends and APIs needed for the delivered solutions, aligning on contracts and integration points.</span></p><br></li><li><p><span>Use a variety of programming languages and technologies to build robust back-end platforms and user-facing solutions, including Java, Java Spring Boot, PHP, MongoDB, MySQL, Oracle DB, REST APIs, Web Services, and microservices.</span></p><br></li><li><p><span>Support implementation across multiple platforms and legacy software applications, contributing to migrations and integration efforts as assigned.</span></p><br></li><li><p><span>Participate in code reviews as both author and reviewer, applying feedback constructively and learning from the process to strengthen technical depth.</span></p><br></li><li><p><span>Contribute to the division's CI/CD practices, building and maintaining pipeline components and using DevOps tooling in use at Zain (Azure DevOps, Docker, Kubernetes, Elasticsearch &amp; Kibana, Prometheus &amp; Grafana).</span></p><br></li></ul> <br> <br><br> What We Need From You <br> <p><span>To be shortlisted for this position, you will need to comply with all of the below requirements:</span></p><br><ul><li><p><span>Holds a bachelor’s degree in </span><span>Computer Science, Computer Engineering</span><span> or any related field</span></p><br></li><li><p><span>Minimum: 3 years of relevant experience.</span></p><br></li></ul> <br> <br><br> About US <br> <p>We are an equal opportunity employer and welcome applicants from all backgrounds, including People with disabilities or people who have undergone severe surgeries and require special accommodations. We provide an inclusive work environment and are committed to accommodating all employees. </p><br><p>If you require accommodations during the application or interview process, please let us know and we will work with you to meet your needs.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The Senior SAP CDS Consultant supports SAP Analytics Cloud initiatives by designing, developing, and optimizing robust CDS views and data models that enable accurate, efficient, and scalable reporting and analytics. The role involves translating business and technical requirements into high-quality SAP data solutions, ensuring data reliability, performance, and alignment with SAC reporting needs.</p> <p>This position requires strong hands-on expertise in SAP Core Data Services, data modeling, and data management, along with the ability to collaborate closely with business stakeholders, functional teams, and technical teams. It also includes ownership of CDS development activities, performance optimization, data quality, and the delivery of reliable solutions that support data-driven decision-making.</p> <h4>Key responsibilities</h4> <ul> <li>Lead the design, development, and enhancement of SAP CDS views and data models to support SAC reporting and analytics requirements.</li> <li>Collaborate with SAC architects, business analysts, data stewards, and technical teams to translate business needs into efficient CDS-based data models.</li> <li>Optimize CDS views for performance, scalability, and usability in SAC dashboards, stories, and reports.</li> <li>Support data integration activities and ensure data consistency, accuracy, and availability across SAP systems used for SAC initiatives.</li> <li>Provide technical guidance and mentoring to junior developers and other team members involved in data modeling and reporting activities.</li> <li>Perform code reviews, apply best practices, and ensure adherence to SAP development standards.</li> <li>Troubleshoot and resolve complex data-related, performance, and reporting issues in collaboration with cross-functional teams.</li> <li>Document development activities, maintain version control, and ensure alignment with internal governance and quality standards.</li> <li>Stay up to date with SAP technologies, CDS enhancements, and SAC capabilities to continuously improve data management and reporting solutions.</li> </ul> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <ul> <li>5+ years of experience in SAP development with a focus on CDS views and data modeling in SAP S/4HANA environments.</li> <li>Experience optimizing CDS views for analytical performance and complex business use cases.</li> <li>Experience with SAP BW/4HANA or other SAP BI tools is a plus.</li> </ul> <p><strong>Educational background:</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li> <li>Relevant SAP certifications in ABAP or SAC are desirable.</li> </ul> <p><strong>Competencies:</strong></p> <p><strong>Technical excellence:</strong></p> <ul> <li>Strong understanding of SAP Analytics Cloud architecture and data consumption patterns.</li> <li>Proficiency in ABAP programming and CDS development tools, including annotations, associations, and extensions.</li> <li>Knowledge of data management principles, data governance, and ETL processes.</li> </ul> <p><strong>Behavioural/core:</strong></p> <ul> <li>Analytical thinking and problem-solving mindset</li> <li>Excellent communication with business and technical stakeholders</li> <li>Cross-functional collaboration</li> <li>Ownership, accountability, and attention to detail</li> <li>Technical leadership and mentoring ability</li> <li>Continuous learning mindset</li> </ul> <h4>Benefits</h4> <ul> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.<br> Work Location<br>HQA and open for remote consultancy in the UNRWA fields of operation<br> Expected duration<br>12 months<br> Duties and Responsibilities<br>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to: • Analyze business requirements and translate them into technical BI and AI solutions. • Design and develop dimensional data warehouse models and analytical/semantic models. • Design and develop OLAP cubes and support database objects. • Develop, maintain, and optimize ETL/ELT processes and data integration solutions. • Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards. • Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions. • Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities. • Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture. • Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support. • Provide technical guidance and knowledge transfer to BI developers and relevant technical staff. • Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals. • Perform other related duties as required.<br> Qualifications/special skills<br>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline. Minimum seven (6) years of relevant professional experience. Nature of required experience: Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies. • Extensive experience with Microsoft Power BI. • Extensive experience with SQL Server, SQL development, and database scripting. • Strong experience in Data Warehouse design and dimensional modelling. • Strong experience in ETL/ELT development and data integration. • Strong experience writing DAX and SQL. • Experience with Microsoft SSIS and SSAS. • Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions. • Experience translating business requirements into analytical solutions. • Experience preparing technical documentation. • Experience with Microsoft Azure and/or Microsoft Fabric is desirable<br> Languages<br>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.<br> Additional Information<br>CONDITIONS OF SERVICE • The consultancy is based in UNRWA HQA Amman with possibility for remote consultancy in the fields of UNRWA operations. • The consultancy is for local candidates. • The selected candidate will receive a monthly remuneration that is amounting to JOD 1,190.44 or equivalent in USD for every fully completed month. • The duration of the Contract is for 12 months, and the possibility of extension is subject to the availability of funds and continuing need and satisfactory performance. • As part of Digital Impact, Technology and Innovation Department (DITID)and digital workspace the role works under the overall supervision of the head, Digital Impact Strategy and Data Officer and in coordination with EBI team.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p><h4>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.</p><br><b>A Day in the Life</b><p>As an Intern in the commercial organization, you will support the execution of key operational initiatives, event managements and business projects designed to improve commercial efficiency and team productivity. Your contributions will help optimize sales processes, enhance data quality, and support the implementation of digital tools and process improvements.</p><br><p><span>You will collaborate with cross</span><span>‑</span><span>functional and international teams, gaining practical experience in analytics, project coordination, event management and business operations within a large, dynamic organization.</span></p><br><p><b>Internship Details</b></p><br><p>•Start Date: September 2026</p><br><p>•Duration: 6 months (with possibility to extend)</p><br><p>•Working Time: 30 hours per week (with flexibility</p><br><p>•Work model: remote</p><br><p>•Location: Jordan, preferably Amman</p><br><p>&nbsp;<b>Responsibilities may include the following and other duties may be assigned:</b></p><br><ul><li><span>Collaborating with sales teams and other departments to execute regional events including Training &amp; Education activities </span></li><li><span>Contributing to business projects focused on digitalization, process automation, and simplifications</span></li><li><span>Preparing analyses and reports, collecting and structuring commercial data</span></li><li><span>Collaborating with sales teams and other departments to gather information and support process consistency</span></li><li><span>Monitoring process and event compliance and supporting initiatives related to data quality and process improvements</span></li></ul><p><b>Required Knowledge and Skills: </b></p><br><p>•&nbsp;Currently pursuing or recently completed a bachelor’s or master’s degree in business, economics, management, business analytics, quantitative methods, industrial engineering, or a related field</p><br><p>•Fluency in English and good command of Arabic</p><br><p>•Proficiency in MS Office, especially Excel and PowerPoint, with the ability to work with large datasets and prepare analyses</p><br><p>•Strong organizational skills, attention to detail, and analytical mindset with the ability to manage multiple tasks</p><br><p>•High motivation to learn and interest in sales operations, business analysis, or project management</p><br><p><b>Would be a plus: </b></p><br><p>•Exposure to databases, analytical tools, or CRM systems (e.g., Salesforce, Power BI)</p><br><p>•Basic knowledge of project management methodologies (e.g., Agile, waterfall) and interest in process automation or digital tools used in commercial organizations</p><br><p>•Ability to work effectively in a team and a proactive approach to problem solving</p><br><p><b>Physical Job Requirements</b><br>The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. </p><br><p>‌</p><br><p><span><b>Recruitment Fraud Alert</b>&nbsp;</span></p><br><p><span>We are aware of phishing scams targeting job seekers. Please keep the following in mind:&nbsp;</span></p><br><br><p><span>Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.&nbsp;</span></p><br><br><p><span>Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.&nbsp;</span></p><br><br><p><span>If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.&nbsp;</span></p><br><br><p><span>If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at </span><span><u>AskHR@medtronic.com</u></span>.&nbsp;</p><br><p>‌</p><br><b>Benefits &amp; Compensation</b><p><b>Medtronic offers a competitive Salary and flexible Benefits Package</b><br>A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.<br>&nbsp;</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p><p>Responsibilities:</p><p>1. Platform Architecture &amp; Engineering Leadership:</p><ul><li>Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale</li><li>Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it</li><li>Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data</li><li>Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand</li><li>Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required</li><li>Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring</li></ul><p>2. Delivery &amp; Data Products:</p><ul><li>Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions</li><li>Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output</li><li>Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them</li><li>Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness</li><li>Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs</li><li>Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers</li><li>Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability</li></ul><p>3. Data Governance &amp; Quality:</p><ul><li>Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions</li><li>Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths</li><li>Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard</li><li>Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer</li><li>Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design</li><li>Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners</li><li>Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases</li></ul><p>4. Team Leadership &amp; Capability Development:</p><ul><li>Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand</li><li>Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure</li><li>Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline</li><li>Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles</li><li>Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities</li><li>Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline</p><p>Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred</p><p>Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred</p><p>Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles</p><p>Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team</p><p>Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level</p><p>Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment</p><p>Experience with Medallion/lakehouse architecture patterns in production</p><p>Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred</p><p>Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred</p><p>Experience leading a data governance or catalogue implementation, from design through to business adoption</p><p>Life sciences, pharmaceutical, or other regulated industry experience is preferred</p><p>Skills :</p><p>Technical Competencies:</p><ul><li>Data Platform Architecture</li><li>Data Engineering, Pipeline Design &amp; CDC Patterns</li><li>Data Modelling, Transformation &amp; Engineering Standards</li><li>Data Governance, Quality &amp; Catalogue</li><li>Analytics &amp; BI Delivery</li><li>MLOps &amp; ML Platform Foundations</li><li>Delivery Management &amp; Agile Methods</li></ul><p>Platform &amp; Technical Skills:</p><ul><li>Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps</li><li>Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow</li><li>Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar)</li><li>Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale</li><li>CI/CD for data pipelines, practical implementation at production scale</li><li>Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows</li><li>Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub</li></ul><p>Leadership &amp; Business Skills:</p><ul><li>Credible with both technical teams and senior business stakeholders</li><li>Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically</li><li>Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap</li><li>Strong written and verbal communication in English; Arabic proficiency valued</li><li>Cultural intelligence for working effectively across MENA, US, and Europe</li></ul><p></p></section>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function.<br> This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions.<br> The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.<br> Responsibilities: 1.<br> Platform Architecture &amp; Engineering Leadership: Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring 2.<br> Delivery &amp; Data Products: Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability 3.<br> Data Governance &amp; Quality: Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases 4.<br> Team Leadership &amp; Capability Development: Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output 5.<br> Business Partnership &amp; Vendor Engagement: Serve as the senior D&amp;A point of contact for business function leadership, translating business data needs into platform and delivery priorities Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early Represent D&amp;A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred Relevant certifications in cloud data platforms (e.<br>g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment Experience with Medallion/lakehouse architecture patterns in production Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred Experience leading a data governance or catalogue implementation, from design through to business adoption Life sciences, pharmaceutical, or other regulated industry experience is preferred Skills : Technical Competencies: Data Platform Architecture Data Engineering, Pipeline Design &amp; CDC Patterns Data Modelling, Transformation &amp; Engineering Standards Data Governance, Quality &amp; Catalogue Analytics &amp; BI Delivery MLOps &amp; ML Platform Foundations Delivery Management &amp; Agile Methods Platform &amp; Technical Skills: Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar) Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale CI/CD for data pipelines, practical implementation at production scale Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub Leadership &amp; Business Skills: Credible with both technical teams and senior business stakeholders Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap Strong written and verbal communication in English; Arabic proficiency valued Cultural intelligence for working effectively across MENA, US, and Europe</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The project aims to strengthen the national TVET ecosystem, respond to labour market needs, and address youth unemployment and gender disparities. It supports the Ministry of Education's (MoE) ongoing TVET reforms as outlined in the Education Strategic Plan <strong>2020-2025</strong> and the recent BTEC based vocational education reform, offering Level 2 and 3 certifications across multiple specializations. The TA project is supporting MoE s TVET reforms through three key areas, namely: (i) strengthening key institutional and policy elements of the national skills ecosystem for a better enabling institutional and policy environment; (ii) enhancing skills development in priority sectors for young women and men through innovation in TVET; and (iii) improving the perception of TVET while advancing gender inclusivity and equity for all students to become a more attractive pathway for girls and boys in Jordan. Under Output 1.2.1, UNESCO is providing technical assistance to MoE to review and strengthen career guidance systems and tools in schools. This includes reviewing current systems and tools, enhancing the model for the provision of gender sensitive and inclusive career guidance, developing/adapting tools and resources, and training relevant personnel on the updated system, tools and resources. The Career Guidance Review, led by UNESCO with the support of the career guidance expert, assessed existing career guidance and counselling systems, tools and practices in Jordan s TVET sector and provided actionable recommendations for strengthening these services in alignment with national and international standards and priorities. Building on this work and following the development of the Career Guidance Model and Manual, there is a need to operationalize the model through a structured Training of Trainers (ToT) programme. This assignment is therefore not intended to create a new career guidance model. Rather, it will support MoE in institutionalizing and applying the developed Career Guidance Model and Manual through a practical ToT package and training process. The ToT will help build a core group of MoE trainers and relevant staff who can support consistent application of the manual in vocational education schools and contribute to future roll-out and scale up. This assignment falls under the Technical Assistance Programme implemented by UNESCO, which supports the delivery of Output 1.2.1: Technical assistance to MoE to review and strengthen career guidance systems and tools in schools. Specifically, the assignment contributes to Activity 1.2.1.4: Training of relevant personnel on the updated career guidance system, tools and resources, and supports Activity 1.2.1.5: Organising workshops and experience/information sharing sessions on the updated career guidance system for vocational education schools and gender responsive approaches in guidance processes for girls and boys. In line with this, UNESCO Amman Office seeks a qualified individual expert/consultant to design and deliver a ToT programme on the Career Guidance Model and Manual for selected MoE staff, supervisors, counsellors, and/or other relevant vocational education stakeholders. The consultant will ensure: • Development of a practical ToT design and training package aligned with the Career Guidance Model and Manual, MoE priorities, and the TVET reform context. • Delivery of a ToT that enables selected MoE participants to understand, facilitate, and support the use of the Career Guidance Model and Manual in vocational education schools. • Integration of gender-sensitive and inclusive career guidance approaches , labour market information, TVET/BTEC pathways, and links with work-based learning and employer engagement where relevant. • Documentation of training outcomes, participant feedback, lessons learned, and recommendations for future roll-out and scale up.&nbsp;</p><p><br></p><p><span >DUTIES/TASKS AND EXPECTED OUTPUT: The consultant will collaborate closely with the Ministry of Education and UNESCO s program team: To initiate efforts in this area, the expert/consultant will undertake the following tasks: 1. ToT Planning and Alignment Conduct consultations with UNESCO and relevant MoE counterparts to confirm the target participants, training objectives, delivery modality, duration, and expected post training application. The consultant will review the Career Guidance Model and Manual and translate its content into a practical ToT structure, ensuring alignment with MoE systems, existing counsellor roles, vocational education schools, and the broader TVET reform context. 2. Training of Trainers (ToT) Package Design and prepare a complete ToT package that enables selected participants to deliver or support future training and orientation sessions on the Career Guidance Model and Manual. The package should include, at minimum: • Training agenda and session plan. • PowerPoint slides and facilitator notes. • Participant handouts and practical exercises/case studies.</span></p><p>SKILLS AND COMPETENCIES • Strong understanding of labor market responsive programming, youth employability challenges, education-to-employment pathways, and inclusive/gender-sensitive career guidance approaches. • Strong coordination and follow up skills. • Demonstrated proficiency in MS Office applications and other relevant digital tools. • Strong organizational, planning, and prioritization skills. • Ability to manage multiple tasks and deadlines in a timely and efficient manner. • Ability to work proactively, with close daily coordination and limited supervision. • Ability to work effectively under pressure and in a multicultural environment. • High sense of professionalism, discretion, and reliability. • Excellent communication and interpersonal skills, including the ability to interact professionally and appropriately with government counterparts, education institutions, consultants, service providers, and other stakeholders. • Strong teamwork skills and ability to work constructively with UNESCO team members and external partners. • Good institutional understanding, including respect for communication channels, reporting lines, roles, responsibilities, and appropriate communication protocols. • Ability to maintain respectful, clear, and solution-oriented communication, including in sensitive or time sensitive situations. LANGUAGES • Excellent knowledge of English language including strong drafting, documentation, and reporting skills DESIRABLE QALIFICATIONS • Direct experience in Jordan and/or the MENA region, including familiarity with career guidance reforms, TVET/BTEC pathways, Ministry of Education systems, school counsellors, supervisors, or vocational education stakeholders. • Extensive experience in career services capacity building, especially in diverse contexts. • Track record of donor-funded education reform projects, preferably UNESCO.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>REQUIRED QUALIFICATIONS</strong> EDUCATION • Advanced University degree (Master or equivalent) in education, international education, career development, counselling, psychology, organizational change, workforce development, TVET, education policy, social sciences, or a related field. WORK EXPERIENCE • At least 10years of relevant professional experience in career guidance/career development, employability, workforce education, TVET, or school to work transition programming. • Demonstrated experience designing and delivering training, ToT, workshops, or capacity-building programs for education personnel, career guidance practitioners, counsellors, career services staff, or similar stakeholders. • Proven experience developing user centered career guidance, career readiness, employability, or job-search manuals, toolkits, training materials, facilitator guides, digital resources, or practical implementation tools. • Proven Experience engaging with senior education stakeholders, universities, ministries, development partners, or education institutions on career guidance, career services, workforce development, or education reform initiatives. SKILLS AND COMPETENCIES • Strong understanding of labor market responsive programming, youth employability challenges, education-to-employment pathways, and inclusive/gender-sensitive career guidance approaches. • Strong coordination and follow up skills. • Demonstrated proficiency in MS Office applications and other relevant digital tools. • Strong organizational, planning, and prioritization skills. • Ability to manage multiple tasks and deadlines in a timely and efficient manner. • Ability to work proactively, with close daily coordination and limited supervision. • Ability to work effectively under pressure and in a multicultural environment. • High sense of professionalism, discretion, and reliability. • Excellent communication and interpersonal skills, including the ability to interact professionally and appropriately with government counterparts, education institutions, consultants, service providers, and other stakeholders. • Strong teamwork skills and ability to work constructively with UNESCO team members and external partners. • Good institutional understanding, including respect for communication channels, reporting lines, roles, responsibilities, and appropriate communication protocols. • Ability to maintain respectful, clear, and solution-oriented communication, including in sensitive or time sensitive situations. LANGUAGES • Excellent knowledge of English language including strong drafting, documentation, and reporting skills DESIRABLE QALIFICATIONS • Direct experience in Jordan and/or the MENA region, including familiarity with career guidance reforms, TVET/BTEC pathways, Ministry of Education systems, school counsellors, supervisors, or vocational education stakeholders. • Extensive experience in career services capacity building, especially in diverse contexts. • Track record of donor-funded education reform projects, preferably UNESCO. • Direct engagement with ministries and educational regulators across several countries. • Contextualized understanding of youth employability challenges and solutions in Jordan and MENA. • Expertise in building employer-education partnerships and designing work-based learning models for diverse populations. • Knowledge of the Arabic Language. • Experience in BTEC or any similar programs.</p><p></p></section>

<p>Senior Software Engineer – Flutter and Firebase and Go</p><p>Location: Amman, Jordan – On-site<br>Employment Type: Full-time</p><p>About the Company:</p><p>We are an American company that buys and recycles cars in the Chicago area, with a 10-person operations team in Jordan.</p><p>Our daily operations run on software we develop internally, including dispatch management, tow-truck fleet management, vehicle intake, parts inventory, and payroll and employee management.</p><p>We are seeking a Senior Software Engineer to join our engineering team and help develop, maintain, and operate a live production platform used daily by drivers, dispatchers, and yard staff.</p><p>Responsibilities:</p><ul><li>Develop and maintain Flutter applications for web, Android, and iOS.</li><li>Develop and manage Firebase services, including Firestore, Authentication, Cloud Functions, and FCM.</li><li>Develop and maintain APIs using Go and PostgreSQL.</li><li>Implement features end-to-end from requirements analysis to testing, deployment, and production verification.</li><li>Diagnose operational issues and fix outages affecting users and staff quickly.</li><li>Write clean, maintainable code with clear tests and reviews.</li><li>Prepare small, organized Merge Requests linked to work tickets.</li><li>Manage build and release processes via GitLab CI, Codemagic, TestFlight, and Shorebird.</li><li>Apply best practices for data protection and system security.</li><li>Monitor app and service performance post-release and verify new versions work correctly.</li><li>Collaborate directly with management and operations teams to understand problems and translate them into practical software solutions.</li></ul><p>Basic Requirements:</p><ul><li>Strong, hands-on experience with Flutter and Dart for mobile and web apps.</li><li>Advanced Firebase experience, especially Firestore, Auth, Cloud Functions, and FCM.</li><li>Experience building backend systems with Go, or strong Node.js experience with willingness to work in Go.</li><li>Good PostgreSQL and SQL/database design experience.</li><li>Experience with REST APIs and external system integration.</li><li>Good understanding of Git, GitLab, and CI/CD processes.</li><li>Experience releasing Android and iOS apps and managing versions.</li><li>Ability to handle production systems and data securely and responsibly.</li><li>Ability to work independently and take ownership from start to finish.</li><li>Good written English, especially for tickets and technical documentation.</li><li>Proven hands-on experience shipping real production apps or systems.</li></ul><p>Nice to Have:</p><ul><li>Experience with Shorebird and direct Flutter updates.</li><li>Experience with Codemagic, TestFlight, and Google Play Console.</li><li>Experience with Docker or Google Cloud Platform.</li><li>Experience with maps, notifications, location tracking, or fleet management systems.</li><li>Experience with operational, logistics, or internal enterprise apps.</li></ul><p>Nature of Work:</p><p>This is a hands-on delivery role, not a meetings-focused position. You will be expected to take features from implementation through testing and production verification.</p><p>The position is based at our office in Amman, Jordan. Some overlap with US Central Time will be required. Exact working hours will be discussed during the interview.</p><p>Compensation:</p><ul><li>Competitive salary based on demonstrated experience and technical ability.</li><li>Payment in JOD or USD equivalent.</li><li>Opportunity to work on a real, stable production product used daily.</li><li>Clear ownership, visible output, and direct influence over the product.</li></ul><p>How to Apply:</p><p>Please Send the following</p><ol><li>Your CV.</li><li>Your GitHub or GitLab profile.</li><li>A short note describing the most meaningful production system or application you have shipped.</li><li>A clear explanation of your personal contribution and the technologies you used.</li><li>Your expected salary and availability to start.</li></ol><p>Real production work and repositories matter more to us than certificates.</p><p>&nbsp;</p>