Data Entry Jobs in Qatar

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 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> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>(a)Minimum Qualifications</strong></p><ol type="1"><li><p>Bachelors in electrical Engineering Specialization in Power, Masters is preferred.</p></li><li><p>Well versed with the MS Office applications, CBAM software architecture and other applications used for the project</p></li><li><p>Infrared thermography Level 2 training certification from recognized equipment OEMs or training providers having expertise in the applicable field.</p></li><li><p>Partial discharge training certification from recognized equipment OEMs or training providers having expertise in the applicable field</p></li><li><p>Training Certification from internationally recognized Oil analysis laboratory for Transformers oil analysis</p></li><li><p>Training/certification on Asset Management (Assets management) from internationally recognized firms having experience in the same field</p></li><li><p>Expert in diagnosis and evaluate asset condition based on the data available (Partial Discharge, Infrared Thermography, Oil Analysis, Visual etc)</p></li></ol><br><p><strong>(b)Minimum Experience and skills:</strong></p><ol type="1"><li><p>Minimum 10 years extensive past experience in MV equipment diagnostics testing, and diagnostics results analysis</p></li><li><p>Sound knowledge of International standards.</p></li><li><p>Sound technical knowledge of Distribution Substations equipment</p></li><li><p>Sound knowledge of Condition&nbsp;Monitoring techniques like Oil Analysis,</p></li><li><p>IR Thermography and Partial Discharge measurement</p></li><li><p>Should be able to independently evaluate the health of Distribution Substation equipment and provide recommendation.</p></li><li><p>Sound knowledge of risk analysis, criticality index and asset management system.</p></li><li><p>&nbsp;Should be experienced&nbsp;to handle the CBAM (Condition Based Asset Management) software</p></li><li><p>Proficiency in CBAM and to develop suitable CBAM methodology</p></li><li><p>PAS55 &amp; ISO 55000</p></li></ol><br><p><strong>(c)Responsibilities:</strong></p><ol type="1"><li><p>Receive and evaluate all technical inputs / reports from the</p></li><li><p>Responsible for evaluating the asset condition based on the field data, historical records, equipment design, specification and performance, operational issues, aging etc.</p></li><li><p>Must have sound competency in condition based risk management, maintenance and asset management philosophies of utility companies.</p></li><li><p>Define Asset Condition with various indices of all Medium Voltage &amp; Low Voltage Assets</p></li><li><p>Link Current Condition to Performance</p></li><li><p>Estimate future condition, performance and remaining life</p></li><li><p>Evaluate consequences of failures in various categories such as safety, network performance, environmental, financial etc.</p></li><li><p>Quantify risks for each asset class</p></li><li><p>Prioritization &amp; Ranking of Assets</p></li></ol><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on failure probability and condition of the asset</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on importance of asset &amp; impact</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on risk (probability x impact)</p><ol start="10" type="1"><li><p>Suggest Remedial Measures</p></li><li><p>Analyze site data related to Partial discharge, Infrared Thermography, visual inspections, Transformers oil Analysis</p></li><li><p>Oil analysis report understanding and interpretation based on applicable IEC, IEEE and ASTM standards</p></li><li><p>Prepare and review reports, defend the conclusions made in the reports for the assigned assets health indices.</p></li><li><p>Review reports and analyze the abnormal cases and suggest remedial measures of short and long term</p></li><li><p>Able to scan/skim/mold large assets data in presentable form and present management as well as expert level views of data for easy decision making</p></li><li><p>Responsible for data quality from site to the final reporting</p></li><li><p>Attend monthly presentation and data review meetings with client</p></li><li><p>Success will be measured based on the assets saved from failures, minimum or no errors in assets condition data</p></li><li><p>Carry out Root Cause Analysis (RCA), forensic and failure investigation for equipment failures especially for the failures that happen after carrying out condition monitoring</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary <br> <p>The Vice President – Data Analysis will lead the execution of QNB’s enterprise-wide analytics strategy, ensuring insights-driven decision-making across all business units. This role involves overseeing the development of executive dashboards, KPI frameworks, performance analysis, and business intelligence solutions that drive measurable business value. The incumbent will manage a team of analysts and collaborate across functions to improve profitability, enhance operational efficiency, and ensure compliance with internal and regulatory standards.</p><br><p>It is ideal that the candidate should have: Advanced SQL and data modeling, Python, DWH / Lakehouse Design, ETL / ELT Pipeline Development, BI and reporting platforms, Data quality and reconciliation, Banking data domain knowledge, Workflow orchestration and automation, Databricks or similar, Data governance.</p><br> <br> <br><br> Main Responsibilities <br> <p>A. Shareholder &amp; Financial:</p><br><p>- Lead and manage a team of analysts, BI developers, and MIS experts with clear performance objectives and </p><br><p>KPIs.</p><br><p>- Define team OKRs aligned with strategic initiatives across business segments and digital transformation</p><br><p>- Define enterprise-level KPIs, measurement standards, and performance dashboards aligned with QNB’s strategic </p><br><p>and financial objectives.</p><br><p>- Lead data-driven financial modelling, profitability analysis, and scenario planning to support C-level decisions.</p><br><p>- Optimize business outcomes by integrating advanced analytics into key revenue-generating areas such as </p><br><p>lending, deposits, and fee income.</p><br><p>- Align analytics investments with organizational priorities and deliver maximum ROI from BI platforms and tools.</p><br><p>- Design and deliver cost-efficiency analysis for operational processes using benchmarking and variance analysis.</p><br><p>- Contribute to strategic initiatives such as Net Promoter Score (NPS) growth, client retention, and cross-sell </p><br><p>analytics.</p><br><p>- Monitor and analyse the impact of pricing, interest rate, and commission changes using dynamic models.</p><br><p>- Evaluate and mitigate financial risk exposure through data-supported key risk indicators (KRIs) and early-warning </p><br><p>models.</p><br><p>- Act within the limits of the powers delegated to the incumbent and delegate authority to the respective staff and </p><br><p>monitor exercise of the same.</p><br><p>- Demonstrate clear understanding of the important factors behind the bank's financial &amp; non-financial </p><br><p>performance.</p><br><p>B. Customer (Internal &amp; External):</p><br><p>- Serve as a senior advisor to business units by converting data into insights to drive customer-centric strategy.</p><br><p>- Collaborate with stakeholders across retail, corporate, international, and digital banking to deliver customized </p><br><p>performance reports.</p><br><p>- Lead strategic engagements with marketing, CRM, and product teams to optimize campaign effectiveness and </p><br><p>client segmentation.</p><br><p>- Oversee analytics initiatives that drive onboarding, retention, upselling, and loyalty programs.</p><br><p>- Support branch/channel performance tracking and digital adoption strategies through channel-level analytics.</p><br><p>- Ensure availability of real-time dashboards and alerts for business users through self-service BI environments.</p><br><p>- Facilitate quarterly business reviews with senior executives using insight-backed reporting packs.</p><br><p>- Build external partnerships with vendors and service providers for benchmark studies and advanced analytics </p><br><p>solutions.</p><br><p>- To assist customers in all their queries on Bank’s product and seek solution to their requests.</p><br><p>- Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve </p><br><p>improvements in turn-around time.</p><br><p>- Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives.</p><br><p>- Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</p><br><p>C. Internal (Processes, Products, Regulatory):</p><br><p>- Own and govern the enterprise data analytics lifecycle from requirement gathering to insight delivery and </p><br><p>refinement.</p><br><p>- Design and deploy standardized business metric definitions and metadata repositories to support consistency </p><br><p>across departments.</p><br><p>- Lead cross-functional working groups to address analytics use cases across finance, risk, treasury, operations, </p><br><p>and compliance.</p><br><p>- Implement analytics frameworks to monitor and improve operational efficiency and cost optimization projects.</p><br><p>- Ensure regulatory-compliant data architecture and reporting workflows as per QCB, GDPR, and NDCP.</p><br><p>- Review, validate, and approve critical business models (profitability, risk scoring, churn) before deployment.</p><br><p>- Work closely with the Data Governance and Quality teams to ensure audit readiness of all analytical models and </p><br><p>outputs.</p><br><p>- Evaluate and implement workflow tools that integrate analytics seamlessly with business systems (CRM, core </p><br><p>banking, etc.).</p><br><p>- Continuous Improvement: [add if they have subordinates]</p><br><p>Set examples by leading improvement initiatives through cross-functional teams ensuring successes.</p><br><p>Identify and encourage people to adopt practices better than the industry standard. </p><br><p>Continuously encourage and recognise the importance of thinking out-of-the-box within the team. </p><br><p>Encourage, solicit and reward innovative ideas even in day-to-day issues.</p><br><p>D. Learning &amp; Knowledge:</p><br><p>- Build a learning roadmap for the analytics team, covering technical upskilling and business storytelling techniques.</p><br><p>- Champion a culture of analytical curiosity and insight-driven decision-making across business users.</p><br><p>- Establish a knowledge-sharing environment through analytics playbooks, case studies, and success metrics.</p><br><p>- Initiate cross-training programs for analysts to support multi-domain exposure and professional development.</p><br><p>- Stay current with evolving analytics trends, AI/ML tools, and cloud analytics capabilities in financial services.</p><br><p>- Mentor senior analysts on translating business problems into analytical hypotheses and data solutions.</p><br><p>- Facilitate monthly innovation forums to showcase high-impact analytics use cases across QNB.</p><br><p>- Drive a data literacy program across business units to build awareness and adoption of BI solutions.</p><br><p>- Hold meetings with staff and assess their performance and your teams overall performance on a regular basis.</p><br><p>- Take decisive action to ensure speedy resolution of unresolved grievances or conflicts within the team members.</p><br><p>- Identify development opportunities and activities for staff and facilitate/coach them to improve their effectives and </p><br><p>prepare them to assume greater responsibilities.</p><br><p>E. Legal, Regulatory, and Risk Framework Responsibilities:</p><br><p>- Ensure full adherence to QCB, NDCP, and international data protection and analytics governance requirements.</p><br><p>- Participate in internal and external audits as the analytics lead and provide all required documentation and </p><br><p>evidence.</p><br><p>- Implement review workflows for business reports involving sensitive KPIs or confidential customer information.</p><br><p>- Define and maintain audit trails, access controls, and documentation standards for all critical analytical assets.</p><br><p>- Support Regulatory and Risk teams with analytics for RCSA, KRI, internal capital adequacy, and Basel reporting.</p><br><p>- Oversee proper usage and lifecycle of business models approved for executive decision-making.</p><br><p>- Drive alignment of all analytics programs with the Bank’s Conduct Risk and Data Protection policies.</p><br><p>- Coordinate with Compliance and Internal Audit teams to investigate data breaches or unauthorized analytical </p><br><p>access.</p><br><p>- Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.</p><br><p>- Attend mandatory (internal and external) seminars as instructed by the Bank.</p><br><p>F. Other:</p><br><p>- Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.</p><br><p>- Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course </p><br><p>of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and </p><br><p>Compliance functions, and relevant Regulators.</p><br><p>- Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.</p><br><p>- All other ad hoc duties/activities related to QNB that management might request from time to time.</p><br><p>- Build succession planning and capability mapping frameworks within the analytics function.</p><br><p>- Foster an inclusive, high-performance culture that encourages innovation and accountability.</p><br><p>- Oversee recruitment, onboarding, and development of top-tier analytical talent.</p><br><p>- Develop and implement governance policies for dashboard publishing, metric ownership, and release </p><br><p>management.</p><br><p>- Represent analytics in the bank’s technology or governance steering committees.</p><br><p>- Conduct regular performance reviews, identify skills gaps, and implement targeted development plans.</p><br> <br> <br><br> Education and Experience Requirements <br> <p>- University degree with specialization in Business Analytics, Data Science, Economics, Engineering, or related </p><br><p>fields.</p><br><p>- Master’s degree or MBA is highly preferred.</p><br><p>- Minimum 12 years’ experience in data analytics, with at least 8 years in senior leadership roles within the banking </p><br><p>or financial services sector.</p><br><p>- Track record of delivering enterprise-wide BI strategies and measurable business outcomes.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234525 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-08-03</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234941 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Cargo &amp; Airport Operations <br> <br> <ul><li><span>Closing Date:</span> <span>2026-07-29</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234942 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-07-29</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking Data &amp; AI Project Lead for our Qatar operations</p><br><p>Required Skills and Experience</p><br><p>• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</p><br><p>• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</p><br><p>• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</p><br><p>• Hands-on expertise in Agile project management, JIRA, and collaboration tools.</p><br><p>• Strong communication, leadership, and vendor management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>Key Responsibilities</p><br><p>• End-to-end ownership of project delivery, including planning, execution, governance, and closure.</p><br><p>• Manage and engage multiple stakeholders across business units, IT teams, and external partners.</p><br><p>• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</p><br><p>• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</p><br><p>• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</p><br><p>• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</p><br><p>• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data Analysis Specialist Experience of working with employee surveys and related tools and approaches <p>Strong track record in designing, producing and delivering impactful surveys.</p><br> <p>Experience in using measurement, data, analytics and insight in relation to communication and engagement activity</p><br> <p>Excellent analytics and problem-solving abilities</p><br> <p>Effective communication skills to convey complex findings to diverse audience</p><br> <p>Ability to analyse existing tools and databases and provide recommendations</p><br> <p>Strong Business Intelligence (BI) analysis background</p><br> <p>Excellent command of the English language</p><br> <p>PC literate</p><br> <p>Proficiency in primary and secondary research methodologies</p><br> <p>Ability to present work quickly and accurately, under pressure and to deadline</p><br> <p>Resilient and adaptable</p><br> <p>Willing to work occasionally long/unsocial hours to meet the needs of the business</p><br> <p>Demonstrate creative flair and innovative thinking</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.</p><br><p>Microsoft’s Cloud Operations &amp; Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity &amp; Inclusion training and events, and professional certifications.</p><br><p>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.</p><br><p>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.</p><br><p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.&nbsp;</p><br><br><b>Responsibilities</b><br><ul><li>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption.</li><li>Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs).</li><li>Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance.</li><li>Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists.</li><li>Assists and provides guidance to other technicians to complete challenging or complex tasks.</li><li>Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training</li><li>Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work</li><li>Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities.</li><li>Embodies our&nbsp;culture&nbsp;and&nbsp;values.</li></ul><br><b>Qualifications</b><br><ul><li>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.</li></ul><p><strong>Background Check Requirements:&nbsp;</strong></p><br><p>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:&nbsp;</p><br><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>While not required, we also look for the following<strong><em>Preferred Qualifications:</em></strong></p><br><ul><li>Experience supporting IT equipment or related technology.</li><li>Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).</li></ul> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>As a Microsoft Data Center Inventory &amp; Asset Technician (DIAT), you will perform cycle audits, execute incoming/outgoing deliveries, coordinate security escorts for third-party vendors, and document inbound and outbound deliveries. This opportunity will allow you to deepen your knowledge of inventory management principles, warranty process management, data bearing device destruction and advance your career in the process.</p><br><p>Microsoft’s Cloud Operations &amp; Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DIAT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and opportunities including Career Rotation Programs, Diversity &amp; Inclusion training and events, and professional certifications.</p><br><p>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.</p><br><p>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.</p><br><p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><br><br><b>Responsibilities</b><br><p><strong>Responsibilities</strong></p><br><ul><li>Perform assigned tasks and escalate issues during high-volume work activity or escalation-based situations.</li><li>Coordinate with suppliers to initiate warranty claim and process failed vendor hardware devices.&nbsp; This includes information processing, packaging, shipment, and receipt of return for Return Merchandise Authorization (RMA) devices following all Service Level Agreements (SLAs) related to RMA warranty process.</li></ul><ul><li>Leverage process knowledge and best judgment to complete tasks with minimal direct supervision.</li></ul><ul><li>Maintains a strong focus to understand the impact of their work when completing tickets and assigned Inventory and Asset Management (IAM) tasks.</li></ul><ul><li>Maintains and steward up-to-date and accurate logical information within various inventory management systems (e.g., configuration management databases, asset management repositories).</li><li>Ensures detailed physical inventory tracking and staging.</li></ul><ul><li>Help to reconcile and report inventory discrepancies.</li></ul><ul><li>Performs destruction of data bearing devices (DBD) following all Service Level Agreements (SLAs) and Microsoft policies as necessary.</li></ul><ul><li>Notifies management about ordering stock shortages. Escalates any issues to management.</li></ul><ul><li>Comply with security and data management policies.</li><li>Embody our culture and values.</li></ul><br><b>Qualifications</b><br><p><strong><span>Required Qualifications</span></strong></p><br><ul><li>High School Diploma AND experience warehouse/supply chain in an information technology (IT) environment, inventory management, retail, warehouse management, or a related field.<ul><li>OR equivalent experience.</li></ul></li></ul><ul><li>Ability to work shifts, including shift assignments during non-standard business hours that may include evening, nighttime, weekends, and/or holidays</li></ul><p><strong>Background Check Requirements:&nbsp;</strong></p><br><p>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:&nbsp;</p><br><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>While not required, we also look for the following<strong> <em><span>Preferred</span></em><span> Qualifications</span>: </strong></p><br><ul><li>2+ year(s) experience in warehouse/supply chain in an information technology (IT) environment, IT, and/or logistics, operating heavy-load movement equipment (e.g., forklift, pallet jacks, chassis lifts) for a large corporation<ul><li>OR equivalent experience.</li></ul></li></ul> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

Exciting Career Opportunities for Qatari Nationals at Mowasalat (Karwa)<br>Why Join Mowasalat? At Mowasalat, we are committed to innovation and excellence in transportation solutions. You’ll have the opportunity to work on cutting-edge projects that transform the way people move, all while growing your career in a fast-paced, technology-driven environment.<br>We are committed to developing Qatari talent and building sustainable career pathways that support Qatar Vision 2030. We are expanding our teams and inviting motivated Qatari nationals to join us at the early stages of their professional journey.<br>We are hiring for entry-level to early-career roles across multiple functions. This opportunity is ideal for fresh graduates or professionals with up to 2 years of experience who are eager to learn, grow, and contribute to a leading Qatari organization.<br>Open Functional Areas Legal Audit Finance Information Technology (IT) Mechanical Engineering Electrical Engineering Supply Chain Human Resources<br>What We Offer:Opportunities for dynamic career growth and professional development Collaborative and innovative work environment Hands-on experience with the latest technologies Structured learning and professional development Long-term career growth within a leading Qatari Organization The chance to contribute to sustainable and innovative transportation solutions for Qatar<br>Ideal Candidates:Bachelor’s degree in relevant discipline with a minimum GPA of 3Strong analytical and problem-solving skills Passion for technology, innovation, and the transportation industry Ability to work effectively in a team-oriented environment A desire to make a positive impact on the community Enthusiastic about contributing to Qatar’s Vision 2030

Exciting Career Opportunities for Qatari Nationals at Mowasalat (Karwa)<br>Why Join Mowasalat? At Mowasalat, we are committed to innovation and excellence in transportation solutions. You’ll have the opportunity to work on cutting-edge projects that transform the way people move, all while growing your career in a fast-paced, technology-driven environment.<br>We are committed to developing Qatari talent and building sustainable career pathways that support Qatar Vision 2030. We are expanding our teams and inviting motivated Qatari nationals to join us at the early stages of their professional journey.<br>We are hiring for entry-level to early-career roles across multiple functions. This opportunity is ideal for fresh graduates or professionals with up to 2 years of experience who are eager to learn, grow, and contribute to a leading Qatari organization.<br>Open Functional Areas Legal Audit Finance Information Technology (IT) Mechanical Engineering Electrical Engineering Supply Chain Human Resources<br>What We Offer:Opportunities for dynamic career growth and professional development Collaborative and innovative work environment Hands-on experience with the latest technologies Structured learning and professional development Long-term career growth within a leading Qatari Organization The chance to contribute to sustainable and innovative transportation solutions for Qatar<br>Ideal Candidates:Bachelor’s degree in relevant discipline with a minimum GPA of 3Strong analytical and problem-solving skills Passion for technology, innovation, and the transportation industry Ability to work effectively in a team-oriented environment A desire to make a positive impact on the community Enthusiastic about contributing to Qatar’s Vision 2030

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking SQL Database Administrator our Qatar operations.</p><br><p>Domain: Banking</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br><br> </div>

Job Description<br><br>JOB TITLE: Lead, Data Governance<br><br>Accountabilities<br><br>Purpose of the Role<br><br>Lead of the central team responsible for driving all company entities to have accurate, consistent, available, and high quality data across around 120 data domains, 870 data families Drives the implementation of data governance for the digital use cases and digital data platform operations to ensure the integrity of data used and presented in the use cases and support decision making Implement data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise. Advisor to the leadership team on enterprise wide data governance solutions and challenges.<br><br>Key Accountabilities<br><br>Drives the implementation of the enterprise data governance framework, strategy, and roadmap Drives the implementation of data governance practices in AI, advanced analytics, digital use cases and data platform operations Implementation and maintenance of solutions to manage data governance Company data literacy and organization upskilling Definition of polices, standards and guidelines for data governance and monitor adoption Budget management for operational costs and data investments<br><br>JOB DIMENSIONS<br><br>Managing an annual budget of approx. USD $2MManaging 2 direct reports5 service contracts Lead of a central team driving the improvement of data governance for 16 department Involves close working relations with the digital team, department focal points and leadership, data owners, and data stewards as well as contractors<br><br>ACTIVITIES<br><br>Manage enterprise data governance framework, strategy, and maturity<br><br>Lead data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data. Lead the improvement of data literacy across company to upskill the organization on the value and use of data Measure enterprise data governance maturity and set yearly plans to improvement goals Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serve steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc.) Apply expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.<br><br>Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations<br><br>Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations Ensure data quality rules are defined and developed, Data lineage for technical metadata are captured, business glossary is captured and approved by data stewards according to every digital use case data needs Establish and advance the enterprise AI Governance framework by defining AI agent operating boundaries, implementing governance controls and data quality assurance mechanisms, and delivering a strategic AI Governance roadmap that strengthens governance maturity, mitigates risk, and enables the responsible scaling of AI initiatives across the organization. Ensure the onboard of the digital use case owners and data stewards on the data governance tools to monitor their data usage, quality, and assignment Enable digital use cases master data management scope by defining the data quality checks Responsible for ensuring the data certification standard is followed, through the validation of data at source and destination are align for any data load or migration activity for digital use cases or application changes<br><br>Implement and maintain solutions to manage data governance<br><br>Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise company data on Data Governance tools leveraging Oil and Gas standard practices Lead the prioritization, development and maintaining controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as work with every entity to improve the finding and report issues to senior management per department Responsible for capturing business data challenges and propose solutions to overcome it Report the progress and challenges to senior management through Data Council and DPG Steer Co.<br><br>Defines polices, standards and guidelines for data governance<br><br>Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance Ensure and monitor the adherence to all data policies, procedures, and guidelines Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data Aligns with the data operations to ensure it fulfils the data governance requirements Upskills developees on data governance and management<br><br>Must Have Qualifications & Experience Required<br><br>Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects. Strong handson experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards) Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality) Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc Experience in Change Management, Program management and Stakeholder management Experience in data integration methods Good understanding of Upstream and Downstream DIM requirements Good Knowledge of Database systems, EDMS solutions and BI Technologies Good Knowledge of Applications Architecture, Information Security Principles Fluent English both spoken and written

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

Role Summary:Doha Bank is seeking a seasoned technology leader with deep expertise in Data Architecture, Enterprise Data Management, and Governance to head its Data Intelligence & Analytics department. This strategic role is pivotal in shaping the Bank’s data ecosystem, ensuring robust architecture, governance, and delivery of actionable insights across all business units.<br>Key Responsibilities:Define and execute the Bank’s enterprise-wide data strategy in collaboration with the CDIO. Lead the design and implementation of scalable data architecture and technology platforms. Establish and enforce data governance frameworks, policies, and standards. Oversee data integration, migration, and automation initiatives across the enterprise. Drive the development of secure, high-performance data infrastructure aligned with regulatory and business needs. Partner with IT and digital transformation teams to build advanced analytics capabilities. Translate business requirements into technical data solutions and architecture blueprints. Ensure compliance with QCB and other regulatory bodies through robust data controls. Promote innovation through the adoption of emerging technologies in data and analytics. Lead a multidisciplinary team of data engineers, architects, and analysts.<br>Qualifications & Experience:Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Master’s degree in Technology, Data Science, or Management is preferred.15+ years of experience in banking or financial services, with a strong focus on data architecture, technology platforms, and governance. Proven experience in leading enterprise data programs and building scalable data solutions. Strong understanding of big data technologies, cloud platforms, and data security. Expertise in data governance, metadata management, and regulatory compliance.<br>Why Join Doha Bank? This is a unique opportunity to lead the transformation of data capabilities at one of the region’s premier financial institutions. You’ll be at the forefront of innovation, driving strategic initiatives that empower smarter decision-making and operational excellence.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Parsons is seeking a <strong>Data Governance SME</strong> to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will be working closely with the Product Manager and a team of international experts, architects, and engineers.</p> <p>The scope spans discovery and stakeholder engagement, data and information architecture design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Data Governance SME will help define and implement data governance frameworks, policies, and processes, support master and reference data management, contribute to data-quality and metadata management activities, and assist in driving trustworthy, well-governed data across all Digital Twin use cases.</p> <p><strong>What You ll Be Doing</strong></p> <ul> <li><p>Support the Product Manager and Data &amp; Architecture team in defining data governance objectives, scope, and priorities for the Operational Digital Twin across planning, operations, and maintenance domains.</p></li> <li><p>Assist in establishing and documenting data governance frameworks, policies, roles, and processes, including data ownership, stewardship, issue management, and change control.</p></li> <li><p>Help identify and catalogue critical data domains (e.g., assets, network, locations, work orders, sensors), and support the development and maintenance of related data dictionaries, business glossaries, and metadata.</p></li> <li><p>Support data-quality management activities by defining quality rules and KPIs, assisting with profiling and assessment, and tracking remediation actions with relevant stakeholders.</p></li> <li><p>Assist in coordinating master and reference data management activities in collaboration with the Data Architect / Ontologist, GIS team, and enterprise system owners.</p></li> <li><p>Support compliance with relevant data protection, privacy, and security policies by working with cybersecurity and infrastructure teams to embed governance requirements into solution design and operations.</p></li> <li><p>Assist in preparing data-governance documentation, guidelines, and training materials, and in running awareness sessions and workshops with client data owners and stewards.</p></li> </ul> <p><strong>What Required Skills You ll Bring</strong></p> <ul> <li><p>Degree in information management, computer science, engineering, or related discipline from an accredited institution</p></li> <li><p>Experience supporting data governance, data management, or information management activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments</p></li> <li><p>Experience of establishing data governance concepts to support Esri ArcGIS implementations</p></li> <li><p>Working knowledge of core data-governance concepts, including data ownership and stewardship, data-quality management, metadata management, and master / reference data management</p></li> <li><p>Comprehensive understanding of data and information architecture concepts, particularly for geospatial, time-series, and asset / network data, and how these support operational use cases.</p></li> <li><p>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes.</p></li> <li><p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p></li> <li><p>Strong organisational and coordination skills.</p></li> <li><p>Exposure to testing, acceptance, or go-live activities for complex or integrated data platforms.</p></li> <li><p>Excellent communication and documentation skills, with the ability to clearly convey data-governance concepts to non-technical stakeholders.</p></li> <li><p>Fluency in spoken and written English.</p></li> </ul> <p><strong>What Desired Skills You ll Bring</strong></p> <ul> <li><p>Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.</p></li> <li><p>Professional certifications in data management or governance</p></li> <li><p>Arabic is an advantage.</p></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree in information management, computer science, engineering, or related discipline from an accredited institution</p> <p>Experience supporting data governance, data management, or information management activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments</p> <p>Experience of establishing data governance concepts to support Esri ArcGIS implementations</p> <p>Working knowledge of core data-governance concepts, including data ownership and stewardship, data-quality management, metadata management, and master / reference data management</p> <p>Comprehensive understanding of data and information architecture concepts, particularly for geospatial, time-series, and asset / network data, and how these support operational use cases.</p> <p>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes.</p> <p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p> <p>Strong organisational and coordination skills.</p> <p>Exposure to testing, acceptance, or go-live activities for complex or integrated data platforms.</p> <p>Excellent communication and documentation skills, with the ability to clearly convey data-governance concepts to non-technical stakeholders.</p> <p>Fluency in spoken and written English.</p><p></p></section>