Model Jobs - Amman Jordan
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.</p><p>Responsibilities:</p><p>1. Data Engineering & Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data. Develop robust data transformation and processing logic using Python and distributed data processing frameworks. Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics. Ensure data quality, reliability, performance, and consistency across the data platform. Translate business and analytical requirements into efficient and maintainable data solutions.</p><p>2. Analytics & BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics. Collaborate with analysts and business users to deliver trusted datasets and metrics. Support reporting and dashboarding solutions by providing optimized data structures and calculations.</p><p>3. Delivery & Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs. Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.</p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming & Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing & Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud & Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI & Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD & DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming & Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing & Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud & Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI & Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD & DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p><p></p></section>
<p>Responsibilities</p><ul><li>Lead the preparation and delivery of comprehensive feasibility studies across various industries.</li><li>Develop and analyze financial models, including DCF, project finance models, and valuation assessments.</li><li>Conduct market research and industry analysis to support strategic planning and investment decisions.</li><li>Prepare detailed reports, business proposals, and professional presentations for clients.</li><li>Manage project deliverables, timelines, client communication, and coordination with internal teams.</li><li>Support business development efforts by identifying new opportunities and contributing to market expansion initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Minimum 5 years of experience in a senior consulting or managerial role.</p><p>Master s degree or MBA in Finance, Economics, Business Administration, or a related field.</p><p>Strong expertise in financial modeling, feasibility studies, valuation techniques, and project management.</p><p>Proven experience in client management, stakeholder engagement, and advisory services.</p><p>Fluency in Arabic and English (written and verbal) is required.</p><p>Strong understanding of GCC market dynamics and business environments is preferred.</p><p>Ability to work effectively in a fast-paced, collaborative, and results-oriented environment.</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data & Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>
<ul><li>Generate new business through cold calls, cold emails, LinkedIn outreach, referrals, and strategic prospecting.</li><li>Identify and qualify potential clients within the <strong>Short-Term Rental and vacation rental ecosystem</strong>.</li><li>Research property managers, Airbnb/Vrbo operators, hospitality businesses, and multi-property owners across platforms such as Airbnb, Booking.com, Vrbo, AirDNA, LinkedIn, Facebook groups, and other industry channels.</li><li>Leverage your <strong>existing STR industry knowledge and network</strong> to identify high-value sales opportunities.</li><li>Conduct discovery calls to understand prospects’ business models, operational challenges, revenue goals, and growth opportunities.</li><li>Present Pinnacle Path’s revenue management solutions confidently and demonstrate their commercial value.</li><li>Build, manage, and continuously develop a strong sales pipeline using CRM tools.</li><li>Prepare proposals, negotiate commercial terms, overcome objections, and close new business.</li><li>Develop long-term relationships with property managers, vacation rental operators, and strategic partners.</li><li>Consistently achieve and exceed weekly, monthly, and quarterly sales targets.</li><li>Track sales activity, conversion rates, and pipeline performance.</li><li>Provide market feedback and industry insights to help shape sales strategy and product offering.</li><li>Represent professionally in the global STR and hospitality market.</li></ul>
<br><p>We are looking for an experienced <strong>Safety Manager</strong> to lead and manage all Health, Safety, and Fire Protection activities within a textile manufacturing facility in Jordan. The ideal candidate should have a strong background in industrial safety, fire prevention, risk assessment, and regulatory compliance, with <strong>NFPA certification</strong> being mandatory.</p><br><p><strong>Desired Candidate Profile</strong></p><br><ul><li><p>Minimum 10 years of relevant experience.</p></li><li><p>NFPA Certification is mandatory.</p></li><li><p>Prior experience in the Textile industry is preferred.</p></li><li><p>Indian nationals only.</p></li></ul>
<p><h4>Description</h4>
<p>The credit analyst senior specialist plays a critical role in evaluating, monitoring, and enhancing the credit worthiness assessment of individual and corporate clients. This role involves advanced financial and risk analysis, development of credit risk models, and close collaboration with the credit committee and other departments.</p>
<p>The analyst supports strategic lending decisions by providing insights based on data-driven assessments, ensuring compliance with internal policies and regulatory frameworks, and contributing to the sustainability of the credit portfolio.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Analyze credit bureau data, bank statements, income, behavioral patterns, and alternative data to assess credit risk.</li>
<li>Perform due diligence, verify financial information, and identify any red flags or discrepancies.</li>
<li>Utilize credit scoring models and risk assessment tools to determine credit scores and guide decisions.</li>
<li>Recommend credit limits, loan amounts, and terms for credit cards and digital lending products.</li>
<li>Underwrite credit requests within assigned authority or escalate with clear documentation.</li>
<li>Develop and refine credit risk assessment criteria and product-specific approval policies (e.g., BNPL, salary advances).</li>
<li>Contribute to the enhancement of automated scoring and underwriting models.</li>
<li>Conduct research on credit policy trends and recommend updates to improve risk management.</li>
<li>Monitor policy exceptions and ensure credit practices align with internal risk appetite.</li>
<li>Track key portfolio performance indicators: approval rates, delinquencies, default rates, NPL, and recoveries.</li>
<li>Prepare credit assessment reports and performance dashboards for senior management.</li>
<li>Support the collections team with the development and execution of recovery strategies.</li>
<li>Monitor payment performance, prepare daily collection plans, and arrange follow-ups accordingly.</li>
<li>Analyze recovery trends and provide actionable insights to maintain portfolio health.</li>
<li>Ensure credit policies and processes comply with local regulations, internal standards, and industry’s best practices.</li>
<li>Prepare documentation for audits and internal/external regulatory reporting.</li>
<li>Stay updated on evolving regulatory requirements affecting credit risk.</li>
<li>Train junior credit analysts and internal stakeholders on credit processes and risk awareness.</li>
<li>Recommend improvements to credit lifecycle processes: onboarding, assessment, limit management, and collections.</li>
<li>Identify process inefficiencies and propose data-driven solutions.</li>
<li>Stay informed on fintech innovations, market conditions, and emerging credit risk trends.</li>
<li>Communicate credit decisions and risk assessments to underwriters, loan officers, and senior management.</li>
<li>Assist clients or applicants during the credit application process, addressing inquiries and offer guidance on improving creditworthiness.</li>
<li>Maintain clear and timely communication with all stakeholders involved in credit approvals and innovative work environment.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in business, economics, finance, or a related field.</li>
<li>5 years of total experience, including at least 3 years in credit analysis, underwriting, or collections, preferably within fintech or consumer lending sectors.</li>
</ul>
<h4>Preferred skills</h4>
<ul>
<li>Strong analytical and financial analysis skills.</li>
<li>Familiarity with credit scoring models and underwriting systems.</li>
<li>Excellent written and verbal communication.</li>
<li>Proficiency in Excel, credit platforms, and reporting tools.</li>
<li>Strong interpersonal and decision-making skills.</li>
<li>Experience with data-driven credit risk tools and performance tracking.</li>
<li>Knowledge of regulatory compliance in digital lending or financial services.</li>
<li>Familiarity with AI-powered tools and data analysis platforms such as Excel, Power BI, and interactive dashboards for reporting and decision-making.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>The credit analyst senior specialist plays a critical role in evaluating, monitoring, and enhancing the credit worthiness assessment of individual and corporate clients. This role involves advanced financial and risk analysis, development of credit risk models, and close collaboration with the credit committee and other departments.</p>
<p>The analyst supports strategic lending decisions by providing insights based on data-driven assessments, ensuring compliance with internal policies and regulatory frameworks, and contributing to the sustainability of the credit portfolio.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Analyze credit bureau data, bank statements, income, behavioral patterns, and alternative data to assess credit risk.</li>
<li>Perform due diligence, verify financial information, and identify any red flags or discrepancies.</li>
<li>Utilize credit scoring models and risk assessment tools to determine credit scores and guide decisions.</li>
<li>Recommend credit limits, loan amounts, and terms for credit cards and digital lending products.</li>
<li>Underwrite credit requests within assigned authority or escalate with clear documentation.</li>
<li>Develop and refine credit risk assessment criteria and product-specific approval policies (e.g., BNPL, salary advances).</li>
<li>Contribute to the enhancement of automated scoring and underwriting models.</li>
<li>Conduct research on credit policy trends and recommend updates to improve risk management.</li>
<li>Monitor policy exceptions and ensure credit practices align with internal risk appetite.</li>
<li>Track key portfolio performance indicators: approval rates, delinquencies, default rates, NPL, and recoveries.</li>
<li>Prepare credit assessment reports and performance dashboards for senior management.</li>
<li>Support the collections team with the development and execution of recovery strategies.</li>
<li>Monitor payment performance, prepare daily collection plans, and arrange follow-ups accordingly.</li>
<li>Analyze recovery trends and provide actionable insights to maintain portfolio health.</li>
<li>Ensure credit policies and processes comply with local regulations, internal standards, and industry’s best practices.</li>
<li>Prepare documentation for audits and internal/external regulatory reporting.</li>
<li>Stay updated on evolving regulatory requirements affecting credit risk.</li>
<li>Train junior credit analysts and internal stakeholders on credit processes and risk awareness.</li>
<li>Recommend improvements to credit lifecycle processes: onboarding, assessment, limit management, and collections.</li>
<li>Identify process inefficiencies and propose data-driven solutions.</li>
<li>Stay informed on fintech innovations, market conditions, and emerging credit risk trends.</li>
<li>Communicate credit decisions and risk assessments to underwriters, loan officers, and senior management.</li>
<li>Assist clients or applicants during the credit application process, addressing inquiries and offer guidance on improving creditworthiness.</li>
<li>Maintain clear and timely communication with all stakeholders involved in credit approvals and innovative work environment.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in business, economics, finance, or a related field.</li>
<li>5 years of total experience, including at least 3 years in credit analysis, underwriting, or collections, preferably within fintech or consumer lending sectors.</li>
</ul>
<h4>Preferred skills</h4>
<ul>
<li>Strong analytical and financial analysis skills.</li>
<li>Familiarity with credit scoring models and underwriting systems.</li>
<li>Excellent written and verbal communication.</li>
<li>Proficiency in Excel, credit platforms, and reporting tools.</li>
<li>Strong interpersonal and decision-making skills.</li>
<li>Experience with data-driven credit risk tools and performance tracking.</li>
<li>Knowledge of regulatory compliance in digital lending or financial services.</li>
<li>Familiarity with AI-powered tools and data analysis platforms such as Excel, Power BI, and interactive dashboards for reporting and decision-making.</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Principal Pricing Specialist at Unifonic, you will lead the company's pricing strategy across its portfolio of AI-powered customer engagement solutions. This is a highly analytical and commercially driven role responsible for developing pricing strategies that maximize revenue growth, improve profitability, and strengthen our competitive position across global markets. You will partner closely with Product, Sales, Finance, Product Marketing, Customer Success, and Executive Leadership to ensure our pricing and commercial models support business objectives while delivering value to customers. You will also own the commercial deal desk, ensuring complex enterprise opportunities are structured efficiently with the right balance of competitiveness, profitability, and long-term customer value.</p><p>Help us shape the future of communication by:</p><ul><li>Define and continuously optimize pricing strategies across Unifonic's product portfolio.</li><li>Develop pricing models for new products, AI capabilities, feature launches, and packaging updates.</li><li>Evaluate pricing performance and recommend improvements based on customer behavior, market trends, and business goals.</li><li>Drive pricing governance and establish pricing best practices across the organization.</li><li>Own the commercial deal desk for strategic enterprise opportunities.</li><li>Partner with Sales and Leadership to structure competitive, profitable, and scalable commercial proposals.</li><li>Review pricing exceptions, discount approvals, and commercial terms while ensuring pricing governance.</li><li>Balance customer acquisition objectives with long-term profitability.</li><li>Identify pricing opportunities that accelerate revenue growth and improve margins.</li><li>Analyze customer usage patterns and buying behavior to recommend pricing optimization initiatives.</li><li>Drive monetization strategies for new products, premium features, AI capabilities, and value-added services.</li><li>Support annual pricing reviews and commercial planning.</li><li>Conduct ongoing competitive pricing analysis across CPaaS, SaaS, Customer Engagement, and AI markets.</li><li>Benchmark Unifonic's commercial offerings against competitors and identify differentiation opportunities.</li><li>Monitor market trends, customer expectations, and pricing innovations.</li><li>Work closely with Product teams to align pricing with product strategy and roadmap.</li><li>Partner with Product Marketing to ensure pricing and packaging are clearly communicated to customers and internal teams.</li><li>Collaborate with Finance on revenue forecasting, profitability analysis, and pricing governance.</li><li>Support Sales and Customer Success teams with pricing guidance and commercial recommendations.</li><li>Build dashboards and reports to monitor pricing effectiveness, discount trends, deal profitability, and commercial performance.</li><li>Analyze pricing elasticity, customer segmentation, and win/loss data to inform strategic decisions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ Years of relevant experience in Pricing, Commercial Strategy, Revenue Management, Deal Desk, Business Strategy, or Pricing Analytics.</li><li>Experience in B2B SaaS, CPaaS, Martech, CCaaS, Telecommunications, Cloud, Enterprise Software, or Technology industries is highly preferred.</li><li>Strong understanding of pricing frameworks including subscription pricing, usage-based pricing, enterprise licensing, and value-based pricing.</li><li>Experience supporting enterprise sales organizations and complex commercial negotiations.</li><li>Excellent analytical and financial modeling skills.</li><li>Proficiency in Excel and experience with BI/reporting tools such as Power BI, Tableau, or Looker is an advantage.</li><li>Bachelor's degree in Business, Finance, Economics, Engineering, Marketing, or a related field. MBA is a plus.</li></ul><p><strong>Craft & Toolkit:</strong></p><ul><li>Pricing Strategy & Optimization</li><li>Commercial Strategy & Revenue Management</li><li>Pricing Models & Packaging</li><li>Deal Desk & Commercial Structuring</li><li>Financial Modeling & Profitability Analysis</li><li>Pricing Analytics & Market Intelligence</li><li>Business Intelligence & Reporting (Excel, Power BI, Tableau)</li><li>Enterprise SaaS/CPaaS Pricing</li><li>Commercial Negotiation & Sales Support</li></ul><p><strong>Character Traits:</strong></p><ul><li>Analytical thinking and problem-solving approach problems clearly, use data, and find solutions.</li><li>Ownership and accountability take responsibility and follow projects through to completion.</li><li>Communication explain ideas clearly and listen to others across teams.</li><li>Collaboration work well with others and support team goals.</li><li>Adaptability and learning adjust to change and keep learning new skills or tools.</li><li>Mentorship and knowledge sharing help others grow and share what you know.</li><li>Resilience stay calm under pressure and handle setbacks constructively.</li><li>Quality and attention to detail do work carefully and strive for improvement.</li><li>Advocacy and innovation encourage best practices, efficiency, and new ideas</li></ul><p></p></section>
<p><h4>Description</h4>
<p>Joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs. The role translates government business needs into structured, build-ready backlogs, models end-to-end processes, and uses AI tools to accelerate analysis and documentation while maintaining quality and data-sensitivity discipline.</p>
<h4>Requirements</h4>
<h4>Key Responsibilities</h4>
<ul>
<li>Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives.</li>
<li>Produce high-quality BRDs, user stories/PBIs with clear acceptance criteria, BPMN 2.0 process models, and full traceability for Azure DevOps delivery.</li>
<li>Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs.</li>
<li>Map as-is/to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance).</li>
<li>Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data.</li>
<li>Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives.</li>
<li>Mentor junior Business Analysts and uphold the team’s BA methodology and standards.</li>
</ul>
<h4>Required Qualifications & Experience</h4>
<ul>
<li>Bachelor’s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.</li>
<li>6+ years of hands-on Business Analysis experience, with a strong track record in government/public-sector digital services in the UAE/GCC.</li>
<li>Proven greenfield requirements experience — not limited to ERP configuration or pre-sales.</li>
</ul>
<h4>Required Skills</h4>
<ul>
<li>Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).</li>
<li>Process modelling: BPMN 2.0, swimlanes, as-is/to-be (Visio, Lucidchart, Camunda, or draw.io).</li>
<li>Backlog management and Agile delivery with Azure DevOps (or Jira).</li>
<li>Excellent stakeholder management, facilitation, and bilingual communication (Arabic & English).</li>
<li>Hands-on AI proficiency: prompt engineering and AI-assisted analysis/documentation, with disciplined validation and data-sensitivity judgment.</li>
<li>Familiarity with eServices, digital-government standards, and the UAE government context.</li>
</ul>
<h4>Preferred (nice to have)</h4>
<ul>
<li>Experience with ECM/document management, omni-channel service delivery, and UAE PASS integration.</li>
<li>Wireframing/prototyping (Figma) and basic data/BI awareness (Power BI).</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs. The role translates government business needs into structured, build-ready backlogs, models end-to-end processes, and uses AI tools to accelerate analysis and documentation while maintaining quality and data-sensitivity discipline.</p>
<h4>Requirements</h4>
<h4>Key Responsibilities</h4>
<ul>
<li>Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives.</li>
<li>Produce high-quality BRDs, user stories/PBIs with clear acceptance criteria, BPMN 2.0 process models, and full traceability for Azure DevOps delivery.</li>
<li>Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs.</li>
<li>Map as-is/to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance).</li>
<li>Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data.</li>
<li>Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives.</li>
<li>Mentor junior Business Analysts and uphold the team’s BA methodology and standards.</li>
</ul>
<h4>Required Qualifications & Experience</h4>
<ul>
<li>Bachelor’s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.</li>
<li>6+ years of hands-on Business Analysis experience, with a strong track record in government/public-sector digital services in the UAE/GCC.</li>
<li>Proven greenfield requirements experience — not limited to ERP configuration or pre-sales.</li>
</ul>
<h4>Required Skills</h4>
<ul>
<li>Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).</li>
<li>Process modelling: BPMN 2.0, swimlanes, as-is/to-be (Visio, Lucidchart, Camunda, or draw.io).</li>
<li>Backlog management and Agile delivery with Azure DevOps (or Jira).</li>
<li>Excellent stakeholder management, facilitation, and bilingual communication (Arabic & English).</li>
<li>Hands-on AI proficiency: prompt engineering and AI-assisted analysis/documentation, with disciplined validation and data-sensitivity judgment.</li>
<li>Familiarity with eServices, digital-government standards, and the UAE government context.</li>
</ul>
<h4>Preferred (nice to have)</h4>
<ul>
<li>Experience with ECM/document management, omni-channel service delivery, and UAE PASS integration.</li>
<li>Wireframing/prototyping (Figma) and basic data/BI awareness (Power BI).</li>
</ul></p><p></p>
<p>A leading development institution is seeking to recruit an Investment Analyst to join its Investment Team.</p>
<p><strong>Key Responsibilities</strong></p>
<ul>
<li>Prepare and analyze financial, operational, and developmental studies related to the institution's investments, develop financial valuation models, and provide investment recommendations.</li>
<li>Analyze the performance of portfolio companies by reviewing financial statements, periodic reports, key performance indicators (KPIs), and variances against approved plans.</li>
<li>Contribute to the evaluation of existing investments and the assessment of new investment, expansion, and exit opportunities.</li>
<li>Monitor Board of Directors and General Assembly activities, review reports submitted by the institution's representatives, and assess companies' compliance with corporate governance requirements.</li>
<li>Prepare periodic investment portfolio reports and presentations, and provide recommendations to support management's decision making.</li>
</ul>
<p><strong>Qualifications</strong></p>
<ul>
<li>Bachelor's degree in Finance, Accounting, Economics, or a related field.</li>
</ul>
<p><strong>Experience</strong></p>
<ul>
<li>A minimum of three (3) years of relevant experience in investment, financial analysis, portfolio management, or company valuation. Experience within investment institutions, investment funds, or development organizations is preferred.</li>
</ul>
<p><strong>How to Apply</strong></p>
<p>Interested candidates are invited to send their CV to: <span dir="RTL"><a href="mailto:hr2016ann@gmail.com"><span dir="LTR">hr2016ann@gmail.com</span></a></span></p>
<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 & 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 & 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>Description</h4>
<p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p>
<p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p>
<p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p>
<p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p>
<h4>Key Responsibilities</h4>
<ul>
<li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li>
<li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li>
<li>Design scalable ETL pipelines and unified star schema data models</li>
<li>Integrate ERPNext and other operational systems into centralized data architecture</li>
<li>Build and deploy containerized services using Docker on Cloud Run</li>
<li>Develop and maintain Flask REST APIs for secure data sharing</li>
<li>Own data DevOps, including CI/CD pipelines and infrastructure management</li>
<li>Orchestrate workflows using Apache Airflow</li>
<li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li>
<li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li>
<li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li>
<li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li>
<li>Translate data into executive-level business decisions and recommendations</li>
<li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li>
<li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li>
<li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>7+ years of experience in data engineering, analytics, or data platform roles</li>
<li>Proven experience in a data leadership or senior technical role</li>
<li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li>
<li>Advanced proficiency in Python and SQL</li>
<li>Solid experience building and scaling data pipelines and ETL architectures</li>
<li>Experience with API development (Flask or similar frameworks)</li>
<li>Hands-on experience with Airflow or other workflow orchestration tools</li>
<li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li>
<li>Experience working with ERP systems (ERPNext or similar) is a plus</li>
<li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li>
<li>Experience in building or leading data teams</li>
<li>Strong business acumen with ability to translate data into actionable insights</li>
<li>Experience with CI/CD, Docker, and cloud infrastructure management</li>
<li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li>
<li>Excellent communication skills and ability to work closely with executive leadership</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>
<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>
<p><h4>Description</h4>
<p>The Senior Sales Executive – Microsoft Solutions & Licensing is responsible for driving revenue growth across ZainTECH’s Microsoft cloud, licensing, AI, and security portfolio. The role focuses on positioning Microsoft 365, Azure, Security, and Microsoft Copilot solutions while supporting customers in their cloud transformation, AI adoption, and licensing optimization journeys.</p>
<p>Working closely with Sales, Presales, Delivery, Microsoft Alliance teams, distributors, and customer stakeholders, the role combines consultative solution selling with strong commercial and licensing expertise. The Senior Sales Executive plays a key role in pipeline generation, customer acquisition, account growth, renewals, and expansion initiatives across enterprise and mid-market customers.</p>
<h4>Responsibilities:</h4>
<p><strong>Business development & revenue growth</strong><br>
Drive revenue growth across Microsoft cloud and licensing solutions including: Microsoft 365, Azure, Microsoft Security solutions, Microsoft Copilot, and Modern Workplace solutions<br>
Identify and develop new business opportunities across enterprise and mid-market customers<br>
Build and maintain a strong sales pipeline through customer engagement, account expansion, upsell and cross-sell initiatives, Microsoft ecosystem collaboration<br>
Achieve assigned revenue, licensing, and cloud consumption targets</p>
<p><strong>Microsoft licensing & commercial advisory</strong><br>
Advise customers on Microsoft licensing programs and commercial agreements including CSP, Enterprise Agreements (EA), subscription-based licensing models<br>
Support customers in optimizing license consumption, cloud adoption, commercial alignment, renewal planning<br>
Ensure compliance with Microsoft licensing policies, commercial frameworks, and partner program requirements<br>
Support customers throughout the full licensing lifecycle including renewals, expansion, optimization, consumption growth</p>
<p><strong>Microsoft Copilot & AI solution positioning</strong><br>
Drive Microsoft Copilot and AI transformation initiatives across customer environments<br>
Identify customer use cases and business opportunities for AI productivity solutions, automation initiatives, modern workplace transformation<br>
Position Microsoft Copilot value propositions aligned with customer business objectives and operational outcomes<br>
Support customer enablement and adoption activities to maximize utilization and long-term value realization</p>
<p><strong>Customer engagement & solution selling</strong><br>
Act as a trusted advisor by translating customer business and technical requirements into suitable Microsoft cloud and licensing solutions<br>
Conduct customer meetings, presentations, demonstrations, and commercial discussions<br>
Support customers in understanding cloud transformation, security, productivity, and AI adoption strategies<br>
Build and maintain strong relationships with: customer stakeholders, Microsoft representatives, distributors and ecosystem partners</p>
<p><strong>Presales & cross-functional collaboration</strong><br>
Support presales activities including solution positioning, proposal development, customer presentations, demonstrations and workshops<br>
Work closely with sales teams, presales teams, delivery teams, Microsoft Alliance teams, partner ecosystem stakeholders<br>
Contribute to opportunity qualification, pipeline acceleration, and successful deal closure activities<br>
Ensure smooth handover from sales to delivery following deal closure</p>
<p><strong>Pipeline management & reporting</strong><br>
Maintain accurate sales forecasting, opportunity tracking, and pipeline reporting activities<br>
Develop and manage account development plans aligned with business growth objectives<br>
Monitor market trends, competitive positioning, and emerging Microsoft technologies to identify new business opportunities<br>
Ensure strong CRM hygiene and reporting accuracy across all assigned opportunities and accounts</p>
<h4>Requirements</h4>
<ul>
<li>6+ years of experience in Microsoft cloud sales, software licensing, enterprise technology sales, ICT or cloud solution environments</li>
<li>Proven experience selling Microsoft 365, Azure, Microsoft Security solutions, Microsoft Copilot, cloud and subscription-based services</li>
<li>Strong understanding of Microsoft licensing models, CSP and EA agreements, cloud consumption and licensing optimization, AI and productivity transformation initiatives</li>
<li>Experience supporting presales activities, proposal development, customer presentations and demonstrations</li>
<li>Experience working with Microsoft partners, distributors, enterprise customers is highly preferred</li>
<li>Bachelor’s degree in Business Administration, Information Technology, Computer Science, Engineering or a related field</li>
<li>Microsoft certifications are considered an advantage, including Microsoft Fundamentals certifications, Azure certifications, Microsoft Security certifications, Microsoft Modern Work certifications</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>The Senior Sales Executive – Microsoft Solutions & Licensing is responsible for driving revenue growth across ZainTECH’s Microsoft cloud, licensing, AI, and security portfolio. The role focuses on positioning Microsoft 365, Azure, Security, and Microsoft Copilot solutions while supporting customers in their cloud transformation, AI adoption, and licensing optimization journeys.</p>
<p>Working closely with Sales, Presales, Delivery, Microsoft Alliance teams, distributors, and customer stakeholders, the role combines consultative solution selling with strong commercial and licensing expertise. The Senior Sales Executive plays a key role in pipeline generation, customer acquisition, account growth, renewals, and expansion initiatives across enterprise and mid-market customers.</p>
<h4>Responsibilities:</h4>
<p><strong>Business development & revenue growth</strong><br>
Drive revenue growth across Microsoft cloud and licensing solutions including: Microsoft 365, Azure, Microsoft Security solutions, Microsoft Copilot, and Modern Workplace solutions<br>
Identify and develop new business opportunities across enterprise and mid-market customers<br>
Build and maintain a strong sales pipeline through customer engagement, account expansion, upsell and cross-sell initiatives, Microsoft ecosystem collaboration<br>
Achieve assigned revenue, licensing, and cloud consumption targets</p>
<p><strong>Microsoft licensing & commercial advisory</strong><br>
Advise customers on Microsoft licensing programs and commercial agreements including CSP, Enterprise Agreements (EA), subscription-based licensing models<br>
Support customers in optimizing license consumption, cloud adoption, commercial alignment, renewal planning<br>
Ensure compliance with Microsoft licensing policies, commercial frameworks, and partner program requirements<br>
Support customers throughout the full licensing lifecycle including renewals, expansion, optimization, consumption growth</p>
<p><strong>Microsoft Copilot & AI solution positioning</strong><br>
Drive Microsoft Copilot and AI transformation initiatives across customer environments<br>
Identify customer use cases and business opportunities for AI productivity solutions, automation initiatives, modern workplace transformation<br>
Position Microsoft Copilot value propositions aligned with customer business objectives and operational outcomes<br>
Support customer enablement and adoption activities to maximize utilization and long-term value realization</p>
<p><strong>Customer engagement & solution selling</strong><br>
Act as a trusted advisor by translating customer business and technical requirements into suitable Microsoft cloud and licensing solutions<br>
Conduct customer meetings, presentations, demonstrations, and commercial discussions<br>
Support customers in understanding cloud transformation, security, productivity, and AI adoption strategies<br>
Build and maintain strong relationships with: customer stakeholders, Microsoft representatives, distributors and ecosystem partners</p>
<p><strong>Presales & cross-functional collaboration</strong><br>
Support presales activities including solution positioning, proposal development, customer presentations, demonstrations and workshops<br>
Work closely with sales teams, presales teams, delivery teams, Microsoft Alliance teams, partner ecosystem stakeholders<br>
Contribute to opportunity qualification, pipeline acceleration, and successful deal closure activities<br>
Ensure smooth handover from sales to delivery following deal closure</p>
<p><strong>Pipeline management & reporting</strong><br>
Maintain accurate sales forecasting, opportunity tracking, and pipeline reporting activities<br>
Develop and manage account development plans aligned with business growth objectives<br>
Monitor market trends, competitive positioning, and emerging Microsoft technologies to identify new business opportunities<br>
Ensure strong CRM hygiene and reporting accuracy across all assigned opportunities and accounts</p>
<h4>Requirements</h4>
<ul>
<li>6+ years of experience in Microsoft cloud sales, software licensing, enterprise technology sales, ICT or cloud solution environments</li>
<li>Proven experience selling Microsoft 365, Azure, Microsoft Security solutions, Microsoft Copilot, cloud and subscription-based services</li>
<li>Strong understanding of Microsoft licensing models, CSP and EA agreements, cloud consumption and licensing optimization, AI and productivity transformation initiatives</li>
<li>Experience supporting presales activities, proposal development, customer presentations and demonstrations</li>
<li>Experience working with Microsoft partners, distributors, enterprise customers is highly preferred</li>
<li>Bachelor’s degree in Business Administration, Information Technology, Computer Science, Engineering or a related field</li>
<li>Microsoft certifications are considered an advantage, including Microsoft Fundamentals certifications, Azure certifications, Microsoft Security certifications, Microsoft Modern Work certifications</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We are growing! We are currently looking to hire a graphic designer - AI & creative to work with us remotely from Lebanon!</p>
<h4>Who we are:</h4>
<p>Founded in 2006, CXG is a global customer experience uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.</p>
<p>The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact.</p>
<p>Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.</p>
<h4>What you will be doing:</h4>
<p>We’re seeking a graphic designer - AI & creative to join our marketing team. This role is critical to supporting CXG’s B2B and thought leadership initiatives while creating visually stunning content for social media, presentations, and high-level consultancy reports. The ideal candidate will be innovative, detail-oriented, and experienced in creating impactful designs for global consultancy firms.</p>
<h4>Key responsibilities:</h4>
<p><strong>1- Design for social media:</strong><br>
Create compelling posts, carousels, and graphics that align with CXG’s brand identity.<br>
Enhance visuals with advanced photo editing, color grading, and manipulation using Adobe Photoshop.</p>
<p><strong>2- Thought leadership and report design:</strong><br>
Develop creative concepts and layouts for professional reports using Adobe InDesign.<br>
Create infographics, charts, and visual elements to enhance complex written content.<br>
Innovate on long-form designs, ensuring readability and aesthetic appeal.</p>
<p><strong>3- PowerPoint presentations:</strong><br>
Design visually engaging slides for internal and external audiences.<br>
Transform data-heavy content into digestible, visually appealing presentations.<br>
Support the commercial, data science, and research teams in upscaling reports and proposals.</p>
<p><strong>4- AI-assisted design:</strong><br>
Full competency and experience in AI generation models like MidJourney to create unique and brand-consistent visuals.<br>
Integrate AI-generated imagery seamlessly into CXG’s content strategy.</p>
<p><strong>5- Internal communications support:</strong><br>
Quickly produce visually appealing content for internal updates and team communications.<br>
Ensure materials are easily repurposable by internal stakeholders.</p>
<p><strong>6- Illustration and vector design:</strong><br>
Create vector-based designs and web-ready SVGs using Adobe Illustrator.<br>
Design infographics and icons that elevate digital and print assets.</p>
<h4>Requirements</h4>
<h4>What you will bring along:</h4>
<p><strong>Core skills:</strong></p>
<ul>
<li>Mastery of Adobe Creative Suite (Photoshop, Illustrator, InDesign).</li>
<li>Proficient in AI image generation and design tools (MidJourney and similar AI tools).</li>
<li>Skilled in art direction and conceptual development.</li>
<li>Expertise in typography, layout design, and visual storytelling.</li>
<li>Strong knowledge of PowerPoint design principles.</li>
<li>Precision and consistency in creating high-quality, brand-aligned visuals.</li>
<li>Ability to innovate and think outside the box for creative problem-solving.</li>
</ul>
<p><strong>Experience:</strong></p>
<ul>
<li>5+ years of professional experience in graphic design, preferably within consultancy or B2B environments.</li>
<li>Proven experience with long-form design, including InDesign reports and whitepapers.</li>
<li>Experience using MidJourney and other AI image generation models for design purposes.</li>
<li>Familiarity with tools like Figma, Canva, Sketch, or XD is a plus.</li>
</ul>
<p><strong>Behavioral attributes:</strong></p>
<ul>
<li>Collaborative mindset with strong communication skills.</li>
<li>Strong work ethic and integrity for all work produced.</li>
<li>Proactive and adaptable in a fast-paced, deadline-driven environment.</li>
<li>A keen eye for emerging design trends and a passion for continuous learning.</li>
</ul>
<h4>Why join CXG?</h4>
<ul>
<li>Work on diverse, high-impact projects for globally recognized luxury brands.</li>
<li>Collaborate with a dynamic, multicultural team that values innovation and creativity.</li>
<li>Play a pivotal role in shaping CXG’s visual identity and thought leadership presence.</li>
</ul>
<p>If you’re a creative visionary ready to elevate CXG’s brand through world-class design, we’d love to hear from you!</p></p><p></p>
<p><h4>Description</h4>
<p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead enterprise data management and data governance initiatives.</li>
<li>Develop data governance frameworks, policies, standards, and procedures.</li>
<li>Define data ownership, stewardship, and accountability models.</li>
<li>Establish data quality frameworks, KPIs, and monitoring processes.</li>
<li>Design metadata management and business glossary structures.</li>
<li>Develop master data management (MDM) strategies.</li>
<li>Support data catalog implementation and governance.</li>
<li>Define data lifecycle management processes.</li>
<li>Develop data classification and data retention policies.</li>
<li>Assess current-state data maturity and recommend improvements.</li>
<li>Conduct data governance workshops with business stakeholders.</li>
<li>Support implementation of governance tools and platforms.</li>
<li>Ensure compliance with local and international regulations.</li>
<li>Prepare executive reports, dashboards, and governance metrics.</li>
<li>Mentor data management specialists.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Enterprise data governance</li>
<li>Data quality management</li>
<li>Metadata management</li>
<li>Master data management (MDM)</li>
<li>Data catalog solutions</li>
<li>Data lineage</li>
<li>Data architecture concepts</li>
<li>Data lifecycle management</li>
<li>Data modeling fundamentals</li>
<li>SQL knowledge</li>
<li>BI concepts</li>
<li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li>
</ul>
<h4>Experience</h4>
<ul>
<li>7 to 10 years in data management or data governance.</li>
<li>Minimum 3 years leading enterprise data governance initiatives.</li>
<li>Experience delivering consulting engagements.</li>
</ul>
<h4>Preferred certifications</h4>
<ul>
<li>DCAM</li>
<li>CDMP</li>
<li>DAMA</li>
<li>Collibra certification</li>
<li>Microsoft Purview certification</li>
<li>Informatica certification</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead enterprise data management and data governance initiatives.</li>
<li>Develop data governance frameworks, policies, standards, and procedures.</li>
<li>Define data ownership, stewardship, and accountability models.</li>
<li>Establish data quality frameworks, KPIs, and monitoring processes.</li>
<li>Design metadata management and business glossary structures.</li>
<li>Develop master data management (MDM) strategies.</li>
<li>Support data catalog implementation and governance.</li>
<li>Define data lifecycle management processes.</li>
<li>Develop data classification and data retention policies.</li>
<li>Assess current-state data maturity and recommend improvements.</li>
<li>Conduct data governance workshops with business stakeholders.</li>
<li>Support implementation of governance tools and platforms.</li>
<li>Ensure compliance with local and international regulations.</li>
<li>Prepare executive reports, dashboards, and governance metrics.</li>
<li>Mentor data management specialists.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Enterprise data governance</li>
<li>Data quality management</li>
<li>Metadata management</li>
<li>Master data management (MDM)</li>
<li>Data catalog solutions</li>
<li>Data lineage</li>
<li>Data architecture concepts</li>
<li>Data lifecycle management</li>
<li>Data modeling fundamentals</li>
<li>SQL knowledge</li>
<li>BI concepts</li>
<li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li>
</ul>
<h4>Experience</h4>
<ul>
<li>7 to 10 years in data management or data governance.</li>
<li>Minimum 3 years leading enterprise data governance initiatives.</li>
<li>Experience delivering consulting engagements.</li>
</ul>
<h4>Preferred certifications</h4>
<ul>
<li>DCAM</li>
<li>CDMP</li>
<li>DAMA</li>
<li>Collibra certification</li>
<li>Microsoft Purview certification</li>
<li>Informatica certification</li>
</ul></p><p></p>