Jobs For Faculty Of Science Graduates in Jordan

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Key Responsibilities : </strong> </p> <p>Analyze business and technical requirements and create comprehensive test plans and test cases.<br>Design, execute, and maintain manual and automated test suites.<br>Perform Functional, Regression, Integration, System, Smoke, Sanity, UAT, and End-to-End testing.<br>Conduct API testing using RESTful services and validate responses.<br>Perform database testing and data integrity validation using SQL.<br>Identify, document, track, and verify software defects.<br>Collaborate with developers and product teams throughout the SDLC and Agile ceremonies.<br>Participate in requirement reviews and provide feedback on testability and quality risks.<br>Maintain and enhance automation frameworks using tools such as Selenium, Playwright, Cypress, or Appium.<br>Integrate automated tests into CI/CD pipelines.<br>Mentor junior QA engineers and promote QA best practices.<br>Support performance testing activities when required. </p> <p> <br> </p> <p> <strong>Required Qualifications :</strong> </p> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field.<br>5+ years of experience in Software Quality Assurance.<br>Strong knowledge of software testing methodologies and QA processes.<br>Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, or Appium.<br>Strong SQL skills and experience with database validation.<br>Experience working in Agile/Scrum environments.<br>Knowledge of defect tracking and test management tools such as Jira, TestRail, or Azure DevOps.<br>Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.<br>Strong analytical, troubleshooting, and communication skills</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>Successful support for the implementation and delivery of the FMIS project, including: • High-quality business requirements documentation. • Support for solution design and implementation activities. • Coordination with stakeholders and technical teams. • Support for testing, UAT, and training activities. • Delivery of project documentation and reporting. • Support for successful project deployment and stabilization.<br> Work Location<br>Amman<br> Expected duration<br>7 months<br> Duties and Responsibilities<br>Specific Outputs/Tasks include but not limited to: · Build and maintain FMIS application modules using ASP.NET/.NET Core and related Microsoft technologies. · Develop and maintain organizational hierarchy, premises management, projects management, dashboards, reporting, and GIS-related modules. · Develop backend services, APIs, and integrations with internal and external systems. · Provide daily technical support and analyze business/system requirements. · Conduct bug fixing, troubleshooting, optimization, and quality assurance activities. · Review code and ensure application security, performance, and compliance with UNRWA standards. · Support deployment, UAT, production releases, and post-go-live stabilization activities. · Prepare technical documentation, deployment guides, and user manuals. · Deliver regular progress updates and backlog tracking reports. · Participate in Agile/Scrum ceremonies and collaborate with project stakeholders throughout the implementation lifecycle.<br> Qualifications/special skills<br>University degree from accredited educational institution in Information Technology, Computer Science, Software Engineering, or related fdiscipline. · Minimum 4 years of experience in web application development using ASP.NET/.NET Core and MS SQL Server. · Experience in enterprise application development and implementation. · Experience developing APIs and integrations. · Experience in ASP.NET MVC, .NET Framework/.NET Core, C#, JavaScript, HTML, CSS, and related technologies. · Experience with relational databases and SQL Server. · Experience in troubleshooting, debugging, and performance optimization. · Familiarity with deployment environments and DevOps practices is desirable. · Experience with GIS integrations and dashboards is an asset.<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 - Jordan. • The selected candidate will receive a monthly remuneration that is amounting to JOD 996.42 for every fully completed month. • The duration of the Contract is 7 months, and the possibility of extension is subject to the availability of funds, 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 Software Development Section &amp; Lead Solution Architecture.<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>You contribute to UNICEF s mission of promoting the rights of every child, everywhere, by supporting programmes, advocacy, and operations grounded in equity. By focusing on the most disadvantaged and excluded children and families, you help translate children s rights into meaningful action, ensuring that every child has an equal opportunity to survive, develop, and reach their full potential.</p> <p>You play a key role in using the power of evidence to drive results for children. By generating, analyzing, and sharing high-quality data, you ensure that the right information reaches the right people at the right time, enabling informed decision-making and stronger programme impact. Your work directly supports the achievement of the Sustainable Development Goals and aligns with UNICEF s Strategic Plan 2PHONE_NUMBER.</p> <p>In the MENA region, you strengthen evidence generation and data systems by contributing to evaluation, data collection, and analysis efforts, often in collaboration with partners. You support the development of robust national monitoring frameworks, improve the availability of disaggregated data, and help advance innovative approaches such as predictive analytics and frontier data use. Through these efforts, you enable more effective policies and programmes, ensuring better outcomes for children across diverse and complex contexts.</p> <p>Under the supervision of the Regional Chief of Programme and Planning, the incumbent will also contribute to the strengthening of statistical and strategic analytical evidence on childhood issues in MENA countries, to the generation of data, analysis and public knowledge on child rights, wellbeing and poverty, to monitoring and assessing progress in achieving SDGs for children, and to strengthening the capacity of UNICEF COs, national governments, and regional partners in MENA to produce and use quality data and analyses on child rights related issues. The incumbent will also contribute to child-focused foresight and predictive analytics considering external factors (such as demographic, geopolitical, socio-economic) as well as insights on potential implications for programmes and policies in the region.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Education:</strong> Master or equivalent (Advanced University Degree) in Social Science,Statistics,International Development, Demography and any other related fields.</p> <p><strong>Work Experience:</strong> At least 8 years of relevant work experience in Innovation, Monitoring and Evaluation, Development, Research, Research, Planning, Monitoring and Evaluation, Analytical research experience, MICS survey, Innovative monitoring knowledge, Development exposure, Emergency exposure. and any other related fields.</p> <p><strong>Skills :</strong> Strong data analysis and survey methodology are considered valuable assets.</p> <p><strong>Language Requirements:</strong> Fluency in English, written and communication skills. Knowledge of Arabic and/or French highly desirable.</p><p></p></section>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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.<br> We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.<br> 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.<br> 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.<br> You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.<br> Key Responsibilities Lead and mentor a cross-functional data team (engineering, analytics, data science) Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform) Design scalable ETL pipelines and unified star schema data models Integrate ERPNext and other operational systems into centralized data architecture Build and deploy containerized services using Docker on Cloud Run Develop and maintain Flask REST APIs for secure data sharing Own data DevOps , including CI/CD pipelines and infrastructure management Orchestrate workflows using Apache Airflow Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake Ensure reliable event tracking, identity resolution, and funnel analytics across platforms Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking Deliver proactive insights: identify trends, anomalies, and risks before they are requested Translate data into executive-level business decisions and recommendations Define KPI frameworks and build trusted data products for finance, operations, and product teams Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation 7+ years of experience in data engineering, analytics, or data platform roles Proven experience in a data leadership or senior technical role Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform) Advanced proficiency in Python and SQL Solid experience building and scaling data pipelines and ETL architectures Experience with API development (Flask or similar frameworks) Hands-on experience with Airflow or other workflow orchestration tools Strong knowledge of product analytics and mobile attribution tools (e.<br>g., Mixpanel, Adjust) Experience working with ERP systems (ERPNext or similar) is a plus Strong understanding of data modeling, KPI frameworks, and business intelligence Experience in building or leading data teams Strong business acumen with ability to translate data into actionable insights Experience with CI/CD, Docker, and cloud infrastructure management Exposure to AI/ML tools or LLM-based automation is a strong plus Excellent communication skills and ability to work closely with executive leadership</span> </div>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Zaincash ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations.<br> The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.<br> For more information, please visit www.<br>zaincash.iq. Responsibilities: 1.<br> AI Strategy and Use Case Development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.<br> 2. Solution Design and Technical Leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.<br> 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.<br> 4. AI Governance, Risk, and Compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.<br> 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.<br> 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.<br> 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.<br> Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.<br> Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries.<br> Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.<br> Experience with Arabic language AI use cases, OCR, document processing, or image based verification.<br> Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.<br> Experience evaluating AI vendors and preparing business cases for technology investment.<br> Knowledge of data platforms, data pipelines, BI, and analytics environments.<br></span> </div>

<p>Achieve Targets: Maintain a high closing ratio on qualified leads. Meet and exceed daily, weekly, and monthly KPIs to hit sales targets. Lead Generation and Acquisition: Generate new leads by leveraging digital marketing campaigns and participating in industry networking events. Convert demo sessions into confirmed sales. Relationship Management: Establish relationships with new strategic partners and maintain positive business relationships with existing and potential partners to ensure future sales. CRM Proficiency: Use CRM systems to follow up on projects and cases related to customers, ensuring meticulous tracking and reporting of sales activities. Data-Driven Approach: Leverage data and CRM insights to inform sales strategies and optimize performance. Pipeline Generation: Proven ability to generate a sales pipeline that is four times the monthly quota. Skill Development: Complete all scheduled training sessions on new product features and advanced sales techniques. Achieve high scores on product knowledge assessments. Innovative Mindset: Foster a creative and dynamic startup attitude, contributing innovative ideas to drive business growth.</p><p><strong>Desired Candidate Profile</strong></p><h2>What Are We Looking For</h2> <p>Educational Background: BS/BA degree in Business, Information Technology, Computer Science, or a related field.</p> <p>Sales Experience: 2-3 years of direct sales experience in Information Technology, FMCG, Software, or SaaS industries is preferred. Talented fresh graduates with a passion for SaaS sales will also be considered.</p> <p>Analytical Skills: Strong analytical and problem-solving abilities.</p> <p>Communication Skills: Excellent communication skills in English and Arabic. Fluency in other languages is a plus.</p> <p>Mobility: Valid driver s license and access to a personal car, with a willingness to conduct fieldwork.</p> <p>Independence: Self-starter with the ability to work independently across functional groups and manage multiple initiatives simultaneously.</p> <p>Adaptability: Flexibility to thrive in a fast-paced and evolving environment.</p> <p>Passion: Enthusiasm for technology and being part of a fast-growing SaaS company.</p> <h2>Who Will Excel</h2> <p>Previous experience in the SaaS, technology, or F&amp;B industry.</p> <p>A proactive approach with a track record of exceeding sales targets.</p> <p>A collaborative team player with a passion for driving growth and innovation.</p> <p>Restaurant operations experience is a plus.</p>

<p>The TPM Consultant will support the ongoing Third-Party Monitoring (TPM) activities on MENA MELS Regional TPM Buy-in, including but not limited to the TPM Leads and Monitoring and Evaluation Specialists in Amman, Syria, Iraq, and Lebanon.</p><p>Work closely with the TPM lead and M&amp;E specialists to draft data collection instruments for different modalities, including but not limited to youth, health activities, food assistance, and psychosocial support activities.</p><p>Review existing TPM tools to adapt them to the changing situation and based on IP activities.</p><p>Support data analysis of TPM data as well as conduct quality checks on data collected by the data collection firms.</p><p>Support the review and/or drafting of TPM reports.</p><p>Support the training efforts of data collection teams before IP-specific TPM activities.</p><p>Coordinate TPM visits with data collection partners.</p><p>Participate in the capacity building of internal teams or local partners.</p><p>Assist in the maintenance and organization of monitoring data and reports for easy access and future reference.</p><p>Support programming TPM tools on Fulcrum.</p><p>Support other tasks as and when requested by the senior leadership.</p><p>Undertake other ad hoc tasks related to TPM, as agreed upon with the Regional TPM Director.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree required, preferably in a field such international affairs, economics, sociology, social science or statistics required. Master's degree preferred.</p><p>Minimum of three years of experience in report writing and data analysis or similar role required.</p><p>Minimum of two years of experience in developing and executing data analysis plans required.</p><p>Demonstrated experience conducting research on developing countries, including countries affected by conflict required.</p><p>Experience in the following sectors: health and nutrition, water, sanitation and hygiene, agriculture and food security, economic recovery and market systems, multi-purpose cash assistance, and protection and shelter/settlements.</p><p>Experience designing quantitative surveys and/or qualitative interview guides required.</p><p>Demonstrated strong analytical skills with the ability to collect, organize, analyze and disseminate large amounts of information with attention to detail and accuracy required.</p><p>Demonstrated proficiency and direct experience using Microsoft Excel and SPSS required.</p><p>Advanced level English preferred.</p>

<p>About the Role We are seeking an experienced and technically strong Delivery Manager to lead the successful delivery of IT projects and technology initiatives. In this role, you will oversee cross-functional technical teams, ensure high-quality solution delivery, and act as the primary liaison between IT, business stakeholders, the PMO, and external partners. The ideal candidate combines strong technical expertise with exceptional leadership, communication, and project delivery skills, enabling teams to deliver innovative solutions on time and within scope. Key Responsibilities Lead and coordinate cross-functional technical teams, including software developers, QA engineers, and technical specialists, throughout the project lifecycle. Own the end-to-end technical delivery of multiple IT projects, ensuring successful execution from planning through deployment. Serve as the primary IT point of contact for the PMO, business units, third-party vendors, and technology partners. Translate business requirements into actionable technical plans, priorities, and delivery roadmaps. Provide technical leadership to ensure solutions meet architecture, security, quality, and performance standards. Manage IT project scope, schedules, resource allocation, deliverables, and technical dependencies. Facilitate technical discussions, drive decision-making, and resolve delivery challenges across stakeholders. Identify, assess, and mitigate technical risks while proactively managing project dependencies and blockers. Coordinate smooth transitions between development, testing, release, and production deployment activities. Monitor delivery progress, resource utilization, project health, and technical performance, providing regular updates to IT leadership. Foster collaboration, accountability, and continuous improvement across technical teams to achieve successful project outcomes.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. 7+ years of experience in software development, IT project delivery, or technology leadership roles. Proven experience managing technical teams and delivering complex IT projects. Strong understanding of software development methodologies, SDLC, Agile, and Scrum practices. Experience working with PMOs, business stakeholders, vendors, and cross-functional teams. Excellent leadership, stakeholder management, communication, and problem-solving skills. Strong understanding of software architecture, application delivery, quality assurance, and deployment processes. PMP, PRINCE2, Scrum Master, or Agile certifications are considered an advantage.</p>

<p>We are looking for an experienced IT Demand Manager to oversee the end-to-end demand management process, ensuring business needs are effectively captured, prioritized, and aligned with organizational strategy and IT capabilities. The ideal candidate will serve as the key link between business stakeholders and IT, driving informed decision-making and enabling successful project delivery.</p><p><b>Key Responsibilities</b></p><ul><li>Manage the IT demand intake process, ensuring requests are captured, evaluated, and processed efficiently.</li><li>Partner with business stakeholders to gather, analyze, and document business requirements for IT initiatives and services.</li><li>Develop, maintain, and communicate the IT demand pipeline, roadmap, and backlog.</li><li>Facilitate demand prioritization sessions with business and IT leaders to align initiatives with strategic objectives, available capacity, and business value.</li><li>Collaborate with architecture, infrastructure, application, and delivery teams to assess solution feasibility, effort estimates, resource requirements, and implementation timelines.</li><li>Monitor and manage the demand backlog, ensuring requests progress through governance and approval processes in a timely manner.</li><li>Prepare dashboards, reports, and performance metrics to provide visibility into demand status, priorities, and portfolio health.</li><li>Ensure all demand requests comply with enterprise architecture principles, IT governance policies, and organizational standards.</li><li>Support investment planning and portfolio decision-making through business case analysis and value assessments.</li><li>Identify and implement continuous improvements to demand management processes, tools, and governance.</li><li>Work closely with the PMO, project managers, and delivery teams to ensure a smooth transition from approved demand to project initiation and execution.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. Proven experience in IT Demand Management, IT Portfolio Management, Business Analysis, or a similar role. Strong understanding of IT governance, project portfolio management, and demand management best practices. Experience facilitating stakeholder workshops and prioritization sessions. Excellent analytical, communication, and stakeholder management skills. Familiarity with Agile, Waterfall, or hybrid delivery methodologies. Experience with demand management, PPM, or ITSM platforms is an advantage.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced IT Demand Manager to oversee the end-to-end demand management process, ensuring business needs are effectively captured, prioritized, and aligned with organizational strategy and IT capabilities.<br> The ideal candidate will serve as the key link between business stakeholders and IT, driving informed decision-making and enabling successful project delivery.<br> Key Responsibilities Manage the IT demand intake process, ensuring requests are captured, evaluated, and processed efficiently.<br> Partner with business stakeholders to gather, analyze, and document business requirements for IT initiatives and services.<br> Develop, maintain, and communicate the IT demand pipeline, roadmap, and backlog.<br> Facilitate demand prioritization sessions with business and IT leaders to align initiatives with strategic objectives, available capacity, and business value.<br> Collaborate with architecture, infrastructure, application, and delivery teams to assess solution feasibility, effort estimates, resource requirements, and implementation timelines.<br> Monitor and manage the demand backlog, ensuring requests progress through governance and approval processes in a timely manner.<br> Prepare dashboards, reports, and performance metrics to provide visibility into demand status, priorities, and portfolio health.<br> Ensure all demand requests comply with enterprise architecture principles, IT governance policies, and organizational standards.<br> Support investment planning and portfolio decision-making through business case analysis and value assessments.<br> Identify and implement continuous improvements to demand management processes, tools, and governance.<br> Work closely with the PMO, project managers, and delivery teams to ensure a smooth transition from approved demand to project initiation and execution.<br> Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field.<br> Proven experience in IT Demand Management, IT Portfolio Management, Business Analysis, or a similar role.<br> Strong understanding of IT governance, project portfolio management, and demand management best practices.<br> Experience facilitating stakeholder workshops and prioritization sessions.<br> Excellent analytical, communication, and stakeholder management skills.<br> Familiarity with Agile, Waterfall, or hybrid delivery methodologies.<br> Experience with demand management, PPM, or ITSM platforms is an advantage.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are seeking an experienced and technically strong Delivery Manager to lead the successful delivery of IT projects and technology initiatives.<br> In this role, you will oversee cross-functional technical teams, ensure high-quality solution delivery, and act as the primary liaison between IT, business stakeholders, the PMO, and external partners.<br> The ideal candidate combines strong technical expertise with exceptional leadership, communication, and project delivery skills, enabling teams to deliver innovative solutions on time and within scope.<br> Key Responsibilities Lead and coordinate cross-functional technical teams, including software developers, QA engineers, and technical specialists, throughout the project lifecycle.<br> Own the end-to-end technical delivery of multiple IT projects, ensuring successful execution from planning through deployment.<br> Serve as the primary IT point of contact for the PMO, business units, third-party vendors, and technology partners.<br> Translate business requirements into actionable technical plans, priorities, and delivery roadmaps.<br> Provide technical leadership to ensure solutions meet architecture, security, quality, and performance standards.<br> Manage IT project scope, schedules, resource allocation, deliverables, and technical dependencies.<br> Facilitate technical discussions, drive decision-making, and resolve delivery challenges across stakeholders.<br> Identify, assess, and mitigate technical risks while proactively managing project dependencies and blockers.<br> Coordinate smooth transitions between development, testing, release, and production deployment activities.<br> Monitor delivery progress, resource utilization, project health, and technical performance, providing regular updates to IT leadership.<br> Foster collaboration, accountability, and continuous improvement across technical teams to achieve successful project outcomes.<br> Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> 7+ years of experience in software development, IT project delivery, or technology leadership roles.<br> Proven experience managing technical teams and delivering complex IT projects.<br> Strong understanding of software development methodologies, SDLC, Agile, and Scrum practices.<br> Experience working with PMOs, business stakeholders, vendors, and cross-functional teams.<br> Excellent leadership, stakeholder management, communication, and problem-solving skills.<br> Strong understanding of software architecture, application delivery, quality assurance, and deployment processes.<br> PMP, PRINCE2, Scrum Master, or Agile certifications are considered an advantage.<br></span> </div>

<p>We are seeking an experienced ABAP Developer to contribute to SAP-related technical initiatives during a 3-month engagement. The role will focus on developing, enhancing, and maintaining ABAP solutions while supporting business and technical requirements across SAP environments. Key Requirements 4 5 years of experience in SAP ABAP development. Strong proficiency in ABAP programming , including both classical and modern ABAP syntax. Hands-on experience with SAP Data Dictionary (DDIC) objects, including tables, structures, domains, and data elements. Experience developing and supporting: ABAP reports Function modules Classes and methods DDIC objects Strong knowledge of Object-Oriented ABAP , including classes, methods, inheritance, and polymorphism. Proficiency with key SAP transactions such as SE11, SE16, SE38, SE37, SE24, SE93, SE09, and SM37 . Experience with Open SQL development. Understanding of SAP Transport Management and related transaction codes (SE09, SE10, SE01). Experience with ABAP on HANA , including CDS Views, AMDP, and Table Functions. Exposure to HANA Native SQL . Experience developing and consuming OData Services . Key Responsibilities Design, develop, test, and maintain ABAP programs and custom SAP developments. Develop and enhance reports, interfaces, forms, function modules, and classes. Create and maintain Data Dictionary objects including tables, structures, and data elements. Develop Object-Oriented ABAP solutions following SAP development standards. Build and optimize database queries using Open SQL and HANA technologies. Develop and support CDS Views, AMDP procedures, and OData services where required. Manage transport requests and support deployment activities across SAP environments. Troubleshoot and resolve technical issues related to custom SAP developments. Collaborate with functional consultants and business users to gather and implement requirements. Prepare technical documentation and support knowledge transfer activities. If you would like to know more about the Global Consulting Bootcamp Visit: https://caseinpointco.com/global-consultant-bootcamp/ If you would like to know more about the MC Club Visit: https://menaconsultant.com/mc-club/</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Strong analytical and troubleshooting skills. Ability to work effectively within technical and functional teams. Ability to manage multiple development tasks within project timelines.</p>

<p><h4>Role overview</h4> <p>We’re looking for a senior product manager to lead a significant product area, drive the roadmap and deliver high-impact features. This person will partner closely with engineering, design, data, and operations teams to define strategy, prioritize initiatives, execute with an agile mindset and measure success with data. The ideal candidate thrives in a fast-moving environment and has the ability to balance immediate outcomes with long-term vision.</p> <h4>Key responsibilities</h4> <ul> <li>Define product vision, strategy and roadmap for a key domain, aligned with business goals and customer needs.</li> <li>Drive end-to-end delivery of product initiatives: ideation, prioritization, user stories, agile sprint execution, launch and iteration.</li> <li>Use data and analytics tools to measure product performance, run experiments (A/B testing), and iterate based on results.</li> <li>Collaborate cross-functionally (engineering, design, data science/analytics, operations, marketing) to deliver value.</li> <li>Influence stakeholders, present product strategy and roadmap to leadership, align teams, manage trade-offs.</li> <li>Mentor and support junior product colleagues; contribute to product culture, agile practices and continuous improvement.</li> </ul> <h4>Requirements</h4> <p><strong>What we’re looking for</strong></p> <ul> <li>5+ years of product management experience, preferably in B2C, marketplace, e-commerce or food-delivery context (or similarly scaled environment).</li> <li>Proven track record of delivering consumer-facing products end to end.</li> <li>Strong analytical skills: comfortable using SQL, data visualization, analytics tools (e.g., Mixpanel, Amplitude, Looker) to drive decisions.</li> <li>Deep understanding of agile methodologies, sprint planning, backlog management, user stories and product delivery frameworks.</li> <li>Excellent communication and stakeholder management skills; ability to distill complex ideas into clear requirements and strategic story.</li> <li>Passion for user experience, experimentation mindset and ability to thrive in fast-paced, dynamic environments.</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience with marketplaces, logistics/last-mile delivery, or food-tech platforms.</li> <li>Familiarity with OKRs, squad/tribe structures or product frameworks used at high-growth tech companies.</li> <li>Previous exposure to experimentation frameworks (A/B testing, multivariate testing) and scalable analytics.</li> <li>Experience working across different geographies or culturally distributed teams.</li> </ul></p><p></p>

<p><h4>Role overview</h4> <p>We’re looking for a senior product manager to lead a significant product area, drive the roadmap and deliver high-impact features. This person will partner closely with engineering, design, data, and operations teams to define strategy, prioritize initiatives, execute with an agile mindset and measure success with data. The ideal candidate thrives in a fast-moving environment and has the ability to balance immediate outcomes with long-term vision.</p> <h4>Key responsibilities</h4> <ul> <li>Define product vision, strategy and roadmap for a key domain, aligned with business goals and customer needs.</li> <li>Drive end-to-end delivery of product initiatives: ideation, prioritization, user stories, agile sprint execution, launch and iteration.</li> <li>Use data and analytics tools to measure product performance, run experiments (A/B testing), and iterate based on results.</li> <li>Collaborate cross-functionally (engineering, design, data science/analytics, operations, marketing) to deliver value.</li> <li>Influence stakeholders, present product strategy and roadmap to leadership, align teams, manage trade-offs.</li> <li>Mentor and support junior product colleagues; contribute to product culture, agile practices and continuous improvement.</li> </ul> <h4>Requirements</h4> <p><strong>What we’re looking for</strong></p> <ul> <li>5+ years of product management experience, preferably in B2C, marketplace, e-commerce or food-delivery context (or similarly scaled environment).</li> <li>Proven track record of delivering consumer-facing products end to end.</li> <li>Strong analytical skills: comfortable using SQL, data visualization, analytics tools (e.g., Mixpanel, Amplitude, Looker) to drive decisions.</li> <li>Deep understanding of agile methodologies, sprint planning, backlog management, user stories and product delivery frameworks.</li> <li>Excellent communication and stakeholder management skills; ability to distill complex ideas into clear requirements and strategic story.</li> <li>Passion for user experience, experimentation mindset and ability to thrive in fast-paced, dynamic environments.</li> </ul> <p><strong>Nice to have</strong></p> <ul> <li>Experience with marketplaces, logistics/last-mile delivery, or food-tech platforms.</li> <li>Familiarity with OKRs, squad/tribe structures or product frameworks used at high-growth tech companies.</li> <li>Previous exposure to experimentation frameworks (A/B testing, multivariate testing) and scalable analytics.</li> <li>Experience working across different geographies or culturally distributed teams.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people’s lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you’re looking for. UXBERT Labs is one of the best digital and user experience design agencies in the GCC, working with the biggest regional and international brands such as STC, Amazon, Gucci, and more. UXBERT Labs is part of the Supertech Group, also consisting of Webook, Saudi’s #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA.</p> <h4>Job overview:</h4> <p>We are looking for a Senior Delivery Manager to lead the delivery of complex digital products and software solutions, ensuring timely, high-quality, and on-budget execution. Acting as both project manager and scrum master, you will drive agile methodologies, align stakeholders, and lead cross-functional teams to consistently deliver value each sprint.</p> <h4>Key responsibilities:</h4> <ul> <li>Ensure that all projects are delivered on time, within project scope, and within budget.</li> <li>Define project objectives and delivery roadmaps aligned with business goals.</li> <li>Lead agile ceremonies (sprint planning, daily scrum, sprint reviews, retrospectives).</li> <li>Build and maintain strong relationships with clients and stakeholders.</li> <li>Manage project timelines, track progress (KPIs), and ensure deliverables meet expectations.</li> <li>Identify project risks, dependencies, and challenges, and drive mitigation plans.</li> <li>Lead client engagements to clarify requirements and manage expectations.</li> <li>Monitor team performance, remove blockers (impediments), and foster a high-performing environment.</li> <li>Drive continuous improvement of agile processes and software delivery practices.</li> <li>Ensure quality assurance (QA) standards and successful delivery.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in computer science, IT, software engineering, or a related field.</li> <li>5+ years of proven experience in project management and software delivery.</li> <li>Strong leadership, organizational, and communication skills.</li> <li>Solid experience with agile methodologies and frameworks and project management tools (like Jira).</li> <li>Solid organizational skills, including attention to detail and multitasking skills.</li> <li>Fluent in English and Arabic (written and spoken).</li> </ul></p><p></p>