Document Controller

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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. Key Responsibilities Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives. Produce high-quality BRDs, user stories / PBIs with clear acceptance criteria, BPMN 2.0 process models, and full traceability for Azure DevOps delivery. Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs. Map as-is / to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance). Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data. Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives. Mentor junior Business Analysts and uphold the team s BA methodology and standards.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Qualifications &amp; Experience</h2><p>Bachelor s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.</p><p>6+ years of hands-on Business Analysis experience, with a strong track record in government / public-sector digital services in the UAE / GCC.</p><p>Proven greenfield requirements experience not limited to ERP configuration or pre-sales.</p><h2>Required Skills</h2><p>Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).</p><p>Process modelling: BPMN 2.0, swimlanes, as-is / to-be (Visio, Lucidchart, Camunda, or draw.io).</p><p>Backlog management and Agile delivery with Azure DevOps (or Jira).</p><p>Excellent stakeholder management, facilitation, and bilingual communication (Arabic &amp; English).</p><p>Hands-on AI proficiency: prompt engineering and AI-assisted analysis / documentation, with disciplined validation and data-sensitivity judgment .</p><p>Familiarity with eServices, digital-government standards, and the UAE government context.</p><h2>Preferred (nice to have)</h2><p>Experience with ECM / document management, omni-channel service delivery, and UAE PASS integration.</p><p>Wireframing / prototyping (Figma) and basic data / BI awareness (Power BI)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs.<br> 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.<br> Key Responsibilities • Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives.<br> • Produce high-quality BRDs, user stories / PBIs with clear acceptance criteria, BPMN 2.<br>0 process models, and full traceability for Azure DevOps delivery.<br> • Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs.<br> • Map as-is / to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance).<br> •Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data.<br> Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives.<br> • Mentor junior Business Analysts and uphold the team’s BA methodology and standards.<br> Required Qualifications &amp; Experience • Bachelor’s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.<br> • 6+ years of hands-on Business Analysis experience, with a strong track record in government / public-sector digital services in the UAE / GCC.<br> • Proven greenfield requirements experience — not limited to ERP configuration or pre-sales.<br> Required Skills • Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).<br> • Process modelling: BPMN 2.<br>0, swimlanes, as-is / to-be (Visio, Lucidchart, Camunda, or draw.<br>io). • Backlog management and Agile delivery with Azure DevOps (or Jira).<br> • Excellent stakeholder management, facilitation, and bilingual communication (Arabic &amp; English).<br> • Hands-on AI proficiency: prompt engineering and AI-assisted analysis / documentation, with disciplined validation and data-sensitivity judgment .<br> • Familiarity with eServices, digital-government standards, and the UAE government context.<br> Preferred (nice to have) • Experience with ECM / document management, omni-channel service delivery, and UAE PASS integration.<br> • Wireframing / prototyping (Figma) and basic data / BI awareness (Power BI)</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><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate Quarterly Business Review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

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

<p><h4>Description</h4> <p>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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is looking for a motivated Business Analyst to join our team and contribute to the successful delivery of projects and business initiatives.<br> In this role, you will work with stakeholders to gather requirements, analyze business processes, and support the development of effective solutions that align with company goals.<br> Key Responsibilities: Engage with stakeholders to gather, analyze, and document detailed business requirements and ensure they align with the organization’s goals and project objectives.<br> Conduct in-depth analysis of business processes, workflows, and systems, identifying areas for improvement and recommending solutions that enhance efficiency and effectiveness.<br> Translate business requirements into functional specifications and user stories, collaborating closely with developers and technical teams.<br> Develop process models, flowcharts, and diagrams to visually represent business operations, system interactions, and solution designs.<br> Create detailed Business Requirement Documents (BRDs), Functional Specifications Documents (FSDs), and other project documentation to guide development and implementation.<br> Support testing and quality assurance efforts by defining test cases, coordinating User Acceptance Testing (UAT), and ensuring that solutions meet business requirements.<br> Annual Bonus Class A Health Insurance Training &amp; Development Bachelor's degree in Business Administration, Information Technology, or a related field.<br> 3-5 years of experience as a Business Analyst or in a similar role.<br> Good understanding of business analysis techniques and methodologies.<br> Strong analytical and problem-solving skills.<br> Excellent communication and interpersonal skills.<br> Familiarity with project management methodologies such as Agile and Waterfall.<br> Experience with requirement gathering and documentation tools.<br></span> </div>

<p><h4>Position summary</h4> <p>Inspect guest rooms, public areas, pool, etc. after being cleaned by housekeeper to ensure quality standards. Run sold room reports, verify room status, determine discrepant rooms, prioritize room cleaning, and update status of departing guest rooms. Assist housekeeping management in managing daily activities. Act as a liaison to coordinate the efforts of housekeeping, engineering, front office, and laundry. Document and resolve issues with discrepant rooms with the front desk. Prepare, distribute, and communicate changes in room assignments. Communicate issues to next shift. Complete required paperwork.</p> <p>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets.</p> <p>Welcome and acknowledge all guests according to company standards; anticipate and address guests’ service needs; assist</p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>A critical role has been established for a Quality Officer in the Jordanian Association for Medical Sciences for Palestinians. This position entails the development, implementation, and monitoring of the Quality Management System (QMS), ensuring compliance with local and international accreditation requirements (HCAC), and contributing to the enhancement of a culture of quality and continuous improvement.</p><p><b>Responsibilities:</b></p><ul><li>Development, implementation, and monitoring of the Quality Management System (QMS).</li><li>Ensuring compliance with local and international accreditation requirements (HCAC).</li><li>Conducting internal audits and coordinating external inspection and accreditation visits.</li><li>Updating policies, procedures, and standard operating procedures (SOPs), and overseeing document and record control.</li><li>Implementation and monitoring of Internal Quality Control (IQC) programs, and participation in External Quality Assessment (EQA) programs and proficiency testing (PT).</li><li>Monitoring non-conformance cases, conducting necessary investigations, and implementing corrective and preventive actions (CAPA).</li><li>Identifying risks, conducting root cause analysis (RCA), and implementing continuous improvement initiatives.</li><li>Executing training programs and evaluating staff competency in quality-related areas and accreditation requirements.</li><li>Monitoring employee feedback and complaints, and implementing quality improvement plans.</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Strong knowledge of quality control and assurance and accreditation requirements.</li><li>Experience in accreditation programs, proficiency testing, internal auditing, document control, and risk management.</li><li>Ability to implement and monitor IQC and EQA programs and analyze their results.</li><li>Ability to conduct root cause analysis (RCA) and implement corrective and preventive actions (CAPA).</li><li>Proficiency in using laboratory information management systems (LIMS) and quality management software.</li><li>Strong analytical skills and problem-solving abilities.</li><li>Effective communication and leadership skills, with the ability to train and guide others.</li><li>Attention to detail and the ability to manage multiple tasks in a fast-paced work environment.</li></ul></div>

<p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p><p>About the Role: Wiley is seeking a Mid Software Support Engineer with 2-3 years of experience to play a key role in supporting Wiley's Research Exchange platform. In this position, you will be responsible for application maintenance, support, troubleshooting, and continuous improvement activities. You will work closely with development teams and cross-functional stakeholders to ensure the stability, performance, and reliability of the platform. This role requires a proactive problem solver who can investigate issues, drive resolutions for incidents and service requests, and contribute to enhancing the overall user experience and operational effectiveness of the application.</p><p>How You Will Make an Impact</p><ul><li>Provide technical expertise in application maintenance, support, troubleshooting, and issue resolution.</li><li>Collaborate closely with development teams to implement fixes, enhancements, and platform improvements.</li><li>Investigate and resolve incidents and service requests, ensuring timely communication and resolution.</li><li>Take ownership of complex support issues and provide guidance to junior team members on troubleshooting and problem resolution.</li><li>Contribute to the refinement of support processes, Incident Management practices, and operational workflows.</li><li>Proactively identify opportunities for application performance, reliability, and process improvements.</li><li>Perform root cause analysis and document findings, recommendations, and preventative actions.</li><li>Create and maintain technical documentation, standard operating procedures (SOPs), and solution requirements.</li><li>Leverage AI-powered tools, including Microsoft Copilot, to assist with debugging, issue analysis, and troubleshooting activities.</li></ul><p>What We Look For</p><ul><li>2-3 years of experience in software support, software development, or testing of web-based enterprise applications.</li><li>Hands-on experience with support and monitoring tools such as Jira Service Management (JSM) , Dynatrace , Kibana , and Elasticsearch .</li><li>Strong analytical, troubleshooting, and critical-thinking skills with exceptional attention to detail.</li><li>Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders.</li><li>Demonstrated experience supporting and troubleshooting web-based applications and integration technologies.</li><li>Ability to work independently while also contributing effectively within a collaborative team environment.</li><li>Experience onboarding new team members and mentoring junior colleagues.</li><li>Proven ability to proactively identify issues, develop solutions, implement fixes, and recommend practical workarounds when required.</li><li>Understanding of RESTful web services and experience using APIs for troubleshooting and analysis.</li><li>Ability to write and execute SQL queries and work with relational databases.</li><li>Experience utilizing AI tools, such as Microsoft Copilot, to improve debugging efficiency, issue tracing, and problem resolution.</li><li>Commitment to continuous learning, process improvement, and delivering high-quality support services.</li></ul><p>We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what s next in science, education, and publishing creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>2-3 years of experience in software support, software development, or testing of web-based enterprise applications.</p><p>Hands-on experience with support and monitoring tools such as Jira Service Management (JSM) , Dynatrace , Kibana , and Elasticsearch .</p><p>Strong analytical, troubleshooting, and critical-thinking skills with exceptional attention to detail.</p><p>Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders.</p><p>Demonstrated experience supporting and troubleshooting web-based applications and integration technologies.</p><p>Ability to work independently while also contributing effectively within a collaborative team environment.</p><p>Experience onboarding new team members and mentoring junior colleagues.</p><p>Proven ability to proactively identify issues, develop solutions, implement fixes, and recommend practical workarounds when required.</p><p>Understanding of RESTful web services and experience using APIs for troubleshooting and analysis.</p><p>Ability to write and execute SQL queries and work with relational databases.</p><p>Experience utilizing AI tools, such as Microsoft Copilot, to improve debugging efficiency, issue tracing, and problem resolution.</p><p>Commitment to continuous learning, process improvement, and delivering high-quality support services.</p>

<p>POSITION SUMMARY Patrol all areas of the property; assist guests with room access. Monitor Closed Circuit Televisions, perimeter alarm system, duress alarms, and fire life safety system. Lock property entrances when required. Conduct daily physical hazard inspections. Respond to accidents, contact EMS or administer first aid/CPR as required. Assist guests/employees during emergency situations. Notify appropriate individuals in the event of accidents, attacks, or other incidents. Defuse guest/employee disturbances. Call for outside assistance if necessary. Complete incident reports to document all Security/Loss Prevention related incidents. Handle all interruptions and complaints. Resolve safety hazard situations. Escort any unwelcome persons from the property without interrupting the orderly flow of property operation. Report to scenes of vehicle accidents/thefts. Call for assistance using proper code responses. Complete a Loss Prevention shift summary/daily activity report. Maintain confidentiality of all Security/Loss Prevention and property reports/documents; release information only to authorized individuals. Conduct investigations and gather evidence. Conduct interviews with relevant parties.</p><p>Follow all company policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Welcome and acknowledge all guests according to company standards; anticipate and address guests service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; prepare and review written documents accurately and completely. Develop and maintain positive working relationships with others; support team to reach common goals. Comply with quality assurance expectations and standards.</p><p>Stand, sit, or walk for an extended period of time. In addition, some states may have additional licensing/registration requirements to be considered for this position. Read and visually verify information in a variety of formats (e.g., small print). Visually inspect tools, equipment, or machines (e.g., to identify defects). Enter and locate work-related information using computers and/or point of sale systems. Move at a speed required to respond to work situations (e.g., run, walk, jog). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and objects weighing in excess of 75 pounds with assistance. Grasp, turn, and manipulate objects of varying size and weight, requiring fine motor skills and hand-eye coordination. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><h2>PREFERRED QUALIFICATIONS</h2><ul><li>Education: High school diploma or G.E.D. equivalent.</li><li>Related Work Experience: No related work experience.</li><li>Supervisory Experience: No supervisory experience.</li><li>License or Certification: None</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Work Location<br>UNRWA HQ Amman<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>1. Background The Central Support Services Division (CSSD) provides operational and administrative support to UNRWA's programmes, including travel and visa administration services. The Travel and Visa Unit facilitates the processing, management, and record keeping of official travel documentation for UNRWA personnel, ensuring compliance with Agency policies and host government requirements. To strengthen document management and improve the accessibility of travel records, the Travel and Visa Unit is seeking an Intern/Volunteer to support the scanning, organization, and archiving of travel-related documentation. 2. Objective of the Internship The internship offers students or recent graduates an opportunity to gain practical experience in administrative support, records management, and document control within an international organization. The selected intern will assist the Travel and Visa Unit in organizing, digitizing, and maintaining travel documentation, contributing to efficient records management and improved administrative processes. 3. Duties and Responsibilities Under the direct supervision of the Senior Travel and Visa Assistant and head of Admin Services Section, the Intern/Volunteer will: •Support the digital transformation and records management initiatives of the Travel and Visa Unit by organizing, validating, and maintaining electronic information in accordance with established information management standards. • Assist in reviewing operational data and system entries to enhance data quality, reporting accuracy, and management information for decision-making. • Contribute to the development, documentation, and continuous improvement of business processes, Standard Operating Procedures (SOPs), workflows, and operational guidelines. • Support business process automation initiatives by assisting with process mapping, requirements gathering, testing, and documentation of digital solutions. • Provide analytical and coordination support for operational projects, including preparing meeting documentation, recording key decisions, monitoring action points, and supporting implementation activities. • Assist in maintaining operational dashboards, tracking tools, and performance indicators to support effective service delivery and reporting. •Conduct research and benchmarking on administrative best practices, digitalization, and process optimization to support continuous improvement initiatives. • Handle official information with the highest level of professionalism, confidentiality, and integrity. • Perform other projects and operational support assignments related to administrative service improvement as assigned by the supervisor 4. Supervision and Performance Evaluation The Intern/Volunteer will work with Head of Administrative Services Section under the direct supervision of the Senior Travel and Visa Assistant or Travel and Visa Associate, who will provide orientation, guidance, and regular feedback throughout the internship. Performance evaluations will be conducted midway through and at the end of the internship to support learning and professional development._<br> Qualifications/special skills<br>5. Required Qualifications: Education: Applicants must meet one of the following criteria: • Be currently enrolled in a graduate (bachelor’s or equivalent) programme in economics, business administration, logistics, supply chain management, international trade, admin management, international relations, law, political science, computer science, literature and editing, languages or a related field Experience: • Applicants to the UNRWA Internship Program are not required to have professional work experience. However, a field of study that is closely related to the type of internship that you are applying for is required • No prior work experience is required • Previous coursework, internships, or project work related to facilities management, logistics, or property administration is desirable • Fluency in English - written and spoken is required • Writing skills<br> Languages<br>Excellent written and spoken English and Arabic are required<br> Additional Information<br>Competencies: • Analytical thinking and problem-solving • Excellent communication and interpersonal skills • High proficiency in Microsoft Office tools (Word, Excel, PowerPoint) • Attention to detail and ability to manage multiple tasks • Demonstrated organizational and coordination abilities 6. Duration and Working Conditions This is a full-time internship for 6 months, based in Amman 7. Intern Benefits • Opportunity to contribute to impactful initiatives at UNRWA • Certificate of volunteering and/or professional reference letter upon completion • Inclusion of work in a professional portfolio • Collaboration with a diverse, mission-oriented team 8. Additional Information • This is an unpaid internship. Interns are responsible for all associated costs, including travel, visas, accommodation, and insurance • Interns must provide proof of valid medical and accident insurance prior to commencing the internship • The internship does not carry any expectation of employment with UNRWA • Interns are considered complementary personnel with non-staff status<br> Intern Specific text<br>Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Design, configure, and deploy VMware virtualization solutions tailored to client needs.<br> Administer and manage VMware vSphere infrastructure, focusing on ESXi hosts and vCenter Server.<br> Maintain and optimize virtual machine templates, snapshots, and clones.<br> Monitor system performance, implementing optimizations for enhanced efficiency.<br> Troubleshoot and resolve technical issues related to the VMware infrastructure.<br> Implement VMware NSX for advanced network virtualization.<br> Work collaboratively with clients and internal teams to devise customized VMware solutions.<br> Document installation procedures and maintain comprehensive technical documentation.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> A minimum of 5 years of relevant experience as a VMware Engineer or in a similar capacity.<br> Proficient in VMware vSphere, ESXi, and vCenter Server.<br> Experience with VMware NSX for network virtualization.<br> Familiar with managing virtual machines, templates, and snapshots.<br> Understanding of backup and disaster recovery strategies for VMware environments.<br> Strong analytical, troubleshooting, and problem-solving skills.<br> Effective communication and teamwork skills.<br> VMware Certified Professional (VCP) certification is a plus.<br></span> </div>