وظائف مدخل بيانات في قطر

<p>Position Overview We are seeking a reliable, organized, and detail-oriented Data Entry Clerk Assistant to join our remote team. This entry-level position supports daily business operations by entering and updating information, maintaining digital records, processing documents, and providing general administrative assistance. The ideal candidate is comfortable using computers, working with spreadsheets and digital documents, following established procedures, and completing routine assignments accurately and on time. Previous professional data entry or office experience is not required. Training and guidance will be provided to qualified candidates. This opportunity is ideal for recent graduates, career changers, individuals returning to the workforce, and candidates looking to develop professional experience in data entry, administration, or business support.</p><p>Key Responsibilities</p><p>Data Entry &amp; Record Maintenance</p><ul><li>Enter and update information in databases, spreadsheets, and internal systems.</li><li>Transfer information from approved source documents into digital records.</li><li>Review entered data for accuracy, completeness, and consistency.</li><li>Update existing records with current information.</li><li>Identify missing, duplicate, or incorrect information.</li><li>Correct routine errors when authorized.</li><li>Maintain accurate and organized electronic records.</li><li>Perform basic quality-control checks on completed work.</li><li>Follow established data-entry and recordkeeping procedures.</li></ul><p>Administrative Support</p><ul><li>Provide routine administrative assistance to managers and team members.</li><li>Prepare, format, organize, and update basic business documents.</li><li>Maintain spreadsheets, trackers, contact lists, and administrative logs.</li><li>Process routine forms and internal requests.</li><li>Organize shared folders and electronic files.</li><li>Route documents and information to appropriate team members.</li><li>Monitor shared inboxes or communication channels when assigned.</li><li>Assist with additional clerical and administrative projects as needed.</li></ul><p>Document Processing</p><ul><li>Upload, label, categorize, and archive digital documents.</li><li>Review documents for completeness and basic accuracy.</li><li>Maintain organized electronic filing systems.</li><li>Follow established file-naming and storage procedures.</li><li>Maintain document indexes and tracking logs.</li><li>Retrieve authorized records when requested.</li><li>Organize templates, forms, reports, and reference materials.</li><li>Handle confidential documents responsibly.</li></ul><p>Data Quality &amp; Reporting</p><ul><li>Review records for obvious errors or missing information.</li><li>Compare information across approved sources when required.</li><li>Perform routine data-quality checks.</li><li>Update tracking reports using established templates.</li><li>Compile information for basic reports and summaries.</li><li>Flag discrepancies requiring additional review.</li><li>Help maintain accurate and current business information.</li></ul><p>Operations Support</p><ul><li>Assist with routine daily operational activities.</li><li>Track assignments, deadlines, and outstanding action items.</li><li>Update project and operational trackers.</li><li>Follow up on routine tasks when requested.</li><li>Help maintain organized workflows.</li><li>Coordinate routine information between team members.</li><li>Escalate unresolved data or administrative issues appropriately.</li></ul><p>Communication &amp; Team Support</p><ul><li>Communicate professionally through email, chat, and virtual meetings.</li><li>Respond to routine internal administrative requests.</li><li>Provide timely updates regarding assigned work.</li><li>Ask questions when instructions or information are unclear.</li><li>Coordinate with colleagues to resolve routine documentation or data issues.</li><li>Maintain professional and dependable communication while working remotely.</li></ul><p><br></p><p>Ideal Candidate</p><p>You may be a strong fit if you:</p><ul><li>Have strong attention to detail and accuracy.</li><li>Enjoy working with computers, spreadsheets, and digital records.</li><li>Are organized, dependable, and responsible.</li><li>Can perform structured and repetitive tasks accurately.</li><li>Follow instructions and established procedures carefully.</li><li>Can manage multiple assignments and meet deadlines.</li><li>Work effectively and independently in a remote environment.</li><li>Communicate professionally and ask questions when needed.</li><li>Are comfortable learning new software and processes.</li><li>Can handle confidential information responsibly.</li><li>Are interested in developing a career in data entry, administration, or business operations.</li></ul><p>Recent graduates, career changers, individuals returning to the workforce, and candidates seeking their first professional remote position are encouraged to apply.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>High school diploma, GED, or equivalent.</li><li>Basic computer and typing proficiency.</li><li>Familiarity with email, web browsers, spreadsheets, and digital documents.</li><li>Strong attention to detail and accuracy.</li><li>Good organizational and time-management skills.</li><li>Ability to follow written instructions and established procedures.</li><li>Ability to perform repetitive tasks while maintaining accuracy.</li><li>Ability to manage multiple routine assignments.</li><li>Effective written and verbal communication skills.</li><li>Ability to work independently in a remote environment.</li><li>Dependable and professional work habits.</li><li>Willingness to learn new software and procedures.</li><li>Ability to maintain confidentiality.</li><li>Reliable internet connection and suitable remote workspace.</li></ul><p>Preferred Qualifications</p><p>Previous professional experience is not required.</p><p>Familiarity with any of the following may be helpful:</p><ul><li>Microsoft Excel, Word, and Outlook.</li><li>Google Sheets, Docs, Drive, and Calendar.</li><li>Data-entry or database systems.</li><li>CRM or business-management platforms.</li><li>Digital filing and document-management systems.</li><li>Administrative or clerical support.</li><li>Customer service or office support.</li><li>Basic spreadsheet and report preparation.</li><li>Remote communication and collaboration tools.</li></ul><p>Internships, volunteer work, academic projects, freelance assignments, customer service experience, and previous clerical responsibilities may also be considered relevant.</p><p>Skills &amp; Competencies</p><ul><li>Accuracy: Enter and maintain information correctly while following established procedures.</li><li>Attention to Detail: Identify errors, inconsistencies, duplicate records, and missing information.</li><li>Organization: Keep records, documents, files, and assignments organized across digital systems.</li><li>Time Management: Prioritize responsibilities and complete assignments within expected timelines.</li><li>Communication: Communicate clearly and professionally with supervisors and colleagues.</li><li>Dependability: Maintain consistent productivity and follow through on assigned responsibilities.</li><li>Adaptability: Learn new software, systems, and administrative procedures as needed.</li><li>Confidentiality: Protect sensitive company, customer, vendor, and employee information.</li></ul>

<p>We are looking for a detail-oriented and reliable Data Entry / Copy Typing Specialist to join our team. In this role, you will be responsible for converting handwritten, audio, or scanned documents into clean, accurately formatted digital records. Your primary focus will be maintaining data integrity, meeting accuracy benchmarks, and ensuring timely entry into our internal systems.</p><p>&nbsp;</p><p>Key Responsibilities</p><p>&nbsp;</p><p>•If you are interested, send us your CV via telegram: @Mykolatieto</p><p>• Accurate Data Entry: Copy-type text, numbers, and formatted data from source materials (PDFs, handwritten notes, scanned forms, audio recordings) into digital databases, spreadsheets, or word processors.</p><p>• Quality Assurance: Proofread and audit typed work to correct errors in spelling, grammar, punctuation, and formatting before final submission.</p><p>• Data Organization: Sort, categorize, and archive digital files efficiently according to company filing conventions.</p><p>• Transcription: Transcribe audio files or meeting notes into clear, structured text documents as required.</p>

<p>PULSE (MENA) is seeking a motivated and detail-oriented Administrative Entry-Level Professional to join our Operations &amp; Office Support team. This role is ideal for recent graduates or early-career professionals looking to gain practical experience in business operations, administrative coordination, and remote office management. The successful candidate will provide essential administrative support that ensures the smooth day-to-day functioning of internal operations. You will collaborate with multiple departments, assist with documentation, coordinate schedules, maintain digital records, and contribute to process improvements while working in a fully remote environment. This position offers an excellent opportunity to develop professional skills, gain exposure to business operations, and grow within a dynamic organization.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Administrative Support</strong><ul><li>Provide day-to-day administrative assistance to operations and management teams.</li><li>Prepare, edit, format, and organize business documents, reports, presentations, and correspondence.</li><li>Maintain organized digital filing systems and ensure documentation remains accurate and up to date.</li><li>Assist with data entry, document verification, and record maintenance.</li><li>Manage confidential information with professionalism and discretion.</li></ul></li><li><strong>Operations Coordination</strong><ul><li>Support daily operational activities across departments.</li><li>Monitor operational workflows and assist in tracking task completion.</li><li>Coordinate internal meetings and prepare agendas, meeting notes, and follow-up action items.</li><li>Help maintain operational calendars and scheduling.</li><li>Assist in organizing virtual meetings, workshops, and internal events.</li></ul></li><li><strong>Office Support</strong><ul><li>Serve as a point of contact for internal administrative requests.</li><li>Coordinate communication between departments to ensure timely information sharing.</li><li>Assist with onboarding documentation for new employees.</li><li>Support procurement and administrative processes when required.</li><li>Help maintain internal databases and operational systems.</li></ul></li><li><strong>Data Management</strong><ul><li>Enter, update, and verify information in company databases.</li><li>Generate basic reports and summaries using spreadsheets and reporting tools.</li><li>Monitor data accuracy and identify inconsistencies.</li><li>Support document control procedures and version management.</li></ul></li><li><strong>Process Improvement</strong><ul><li>Recommend improvements to administrative workflows.</li><li>Assist in developing standard operating procedures (SOPs).</li><li>Identify opportunities to improve efficiency through automation and digital tools.</li><li>Support special operational projects assigned by management.</li></ul></li></ul><p><strong>Qualifications Required</strong></p><ul><li>Bachelor's degree or diploma in Business Administration, Management, Office Administration, Operations Management, or a related field.</li><li>Recent graduate or up to two years of relevant administrative or office support experience.</li><li>Excellent written and verbal communication skills in English.</li><li>Strong organizational and time-management abilities.</li><li>High level of attention to detail and accuracy.</li><li>Ability to work independently in a remote environment.</li><li>Professional attitude with a strong customer-service mindset.</li><li>Strong problem-solving and critical-thinking skills.</li><li>Ability to prioritize multiple tasks and meet deadlines.</li></ul><p><strong>Technical Skills</strong></p><ul><li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).</li><li>Familiarity with Google Workspace (Docs, Sheets, Drive, Meet).</li><li>Comfortable using virtual collaboration platforms such as Microsoft Teams, Zoom, Slack, or similar tools.</li><li>Basic knowledge of spreadsheets and data management.</li><li>Ability to learn new software and business systems quickly.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Internship or volunteer experience in administration, operations, customer service, or office support.</li><li>Experience using project management tools such as Trello, Asana, ClickUp, or Monday.com.</li><li>Familiarity with document management systems and cloud-based collaboration platforms.</li><li>Knowledge of administrative best practices in a remote work environment.</li><li>Arabic language proficiency is an advantage.</li></ul><p><strong>Core Competencies</strong></p><ul><li>Organization and planning</li><li>Communication skills</li><li>Time management</li><li>Adaptability</li><li>Team collaboration</li><li>Professional integrity</li><li>Initiative and accountability</li><li>Analytical thinking</li><li>Attention to detail</li><li>Confidentiality</li></ul><p><strong>What You'll Gain</strong></p><ul><li>Comprehensive onboarding and training.</li><li>Mentorship from experienced operations professionals.</li><li>Exposure to cross-functional business operations.</li><li>Opportunities to participate in process improvement initiatives.</li><li>Professional development and career growth opportunities.</li><li>Flexible remote working environment.</li><li>Collaborative and supportive team culture.</li><li>Access to modern digital collaboration tools.</li></ul><p><strong>Working Conditions</strong></p><ul><li>Fully remote position within the MENA region.</li><li>Standard business working hours with occasional flexibility based on operational needs.</li><li>Reliable internet connection and a suitable remote workspace are required.</li><li>Regular virtual meetings and team collaboration.</li></ul><p><strong>Performance Expectations</strong></p><p>Success in this role will be measured by:</p><ul><li>Accuracy and quality of administrative work.</li><li>Timely completion of assigned tasks.</li><li>Effective communication and collaboration.</li><li>Ability to maintain organized documentation.</li><li>Reliability and accountability in a remote work setting.</li><li>Contribution to operational efficiency and continuous improvement.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree or diploma in Business Administration, Management, Office Administration, Operations Management, or a related field. Recent graduate or up to two years of relevant administrative or office support experience. Excellent written and verbal communication skills in English. Strong organizational and time-management abilities. High level of attention to detail and accuracy. Ability to work independently in a remote environment. Professional attitude with a strong customer-service mindset. Strong problem-solving and critical-thinking skills. Ability to prioritize multiple tasks and meet deadlines.</p><p><strong>Technical Skills</strong></p><ul><li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).</li><li>Familiarity with Google Workspace (Docs, Sheets, Drive, Meet).</li><li>Comfortable using virtual collaboration platforms such as Microsoft Teams, Zoom, Slack, or similar tools.</li><li>Basic knowledge of spreadsheets and data management.</li><li>Ability to learn new software and business systems quickly.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Internship or volunteer experience in administration, operations, customer service, or office support.</li><li>Experience using project management tools such as Trello, Asana, ClickUp, or Monday.com.</li><li>Familiarity with document management systems and cloud-based collaboration platforms.</li><li>Knowledge of administrative best practices in a remote work environment.</li><li>Arabic language proficiency is an advantage.</li></ul>

<p><span >&nbsp;As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture.</span></p><p><b>What You'll Do</b></p><ul><li>Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and modern data engineering technologies.</li><li>Build robust ELT/ETL solutions, integrating data from multiple enterprise sources while ensuring quality, security and governance.</li><li>Collaborate with business stakeholders, architects and cross-functional delivery teams to translate business requirements into technical solutions.</li><li>Optimise Snowflake performance, cost management and data modelling to deliver efficient, high-performing data platforms.</li><li>Support client engagements through technical leadership, solution design, mentoring team members and contributing to successful project delivery.</li></ul><p>What We're Looking For</p><ul><li>Proven experience delivering enterprise-scale data engineering solutions with strong hands-on expertise in Snowflake.</li><li>Experience with SQL, Python and modern cloud platforms such as AWS, Azure or Google Cloud.</li><li>Strong understanding of data warehousing, dimensional modelling, data integration and data governance principles.</li><li>Excellent stakeholder management, communication and consulting skills with the ability to influence technical and business audiences.</li><li>Experience working within Agile delivery environments and leading technical workstreams</li><li>Proven track record building end-to-end ELT/ETL ingestion and transformation pipelines</li><li>Strong understanding of data warehousing, dimensional modeling, Iceberg open-table storage formats, data integration, and data governance principles.</li><li>Experience configuring and deploying advanced Snowflake features and frameworks, including Snowpark, Dynamic Tables, Streams &amp; Tasks, Snowpipe / Streaming ingestion, dbt Projects, and open table formats (e.g., Apache Iceberg)</li><li>Experience with dbt, Apache Airflow, Kafka or other modern data engineering tools.</li></ul><p>Bonus Points For</p><ul><li>Relevant Snowflake certifications or other cloud platform certifications.</li><li>Exposure to financial services, banking, capital markets or insurance.</li><li>Experience with DevOps, CI/CD pipelines and Infrastructure as Code.</li><li>Previous consulting experience delivering complex client engagements.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

About Us:Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!<br>About the Role:This role is responsible for strengthening the AI practice by working closely with the relevant stakeholders (B2B/C, Technology, Finance etc.) on impactful AI/ML and Gen AI use cases to contribute to business strategy, digital growth and an evolving data & AI roadmap. The role will focus on translating customer and commercial needs into scalable ML/Gen AI/Data Science models and decisioning capabilities across business domains including customer value management (CVM), marketing, digital sales and customer care.<br>Functional Context:Ooredoo places strong emphasis on a data-driven culture. In an ever-changing business landscape, there is increasing organizational focus on using AI/ML in day-to-day practice to create value, efficiency, and diversification.<br>The AI Hub division is responsible for putting in place and executing the data & AI roadmap, business plan, and strategy. Ooredoo is building cloud platform-based solutions involving GCP that hosts the data platform and supports analytics and ML workloads, while Azure hosts Gen AI and agentic AI workloads.<br>Role Accountabilities:• Understand business requirements for Telecom business (B2C/B2B) and develop AI/ML based data science models to do value addition.• Own end-to-end AI/ML model lifecycle: problem framing, data discovery, feature engineering, training, validation, deployment, monitoring, and continuous improvement (self-learning where applicable).• Deliver Customer Value Management (CVM) use cases such as churn prediction and prevention, customer lifetime value (CLV), propensity models for upsell/cross-sell, and Next Best Offer / Next Best Action frameworks.• Enable hyper-personalization and real-time decisioning by designing decision logic, recommendation models and event-driven scoring to support always-on campaigns and contextual offers.• Support AI-enabled marketing and digital sales optimization, including audience segmentation, campaign optimization, attribution/uplift measurement, personalized messaging, and digital funnel conversion analytics.• Develop call-center efficiency use cases including call volume forecasting, workforce optimization inputs, routing/prioritization analytics, and AI-assisted service journeys.• Design and implement conversational AI and Gen AI solutions (e.g., virtual assistants, agent-assist, summarization, knowledge retrieval) to improve customer experience and operational efficiency while adhering to governance controls.• Command on PL/SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction in leading database platforms e.g., Teradata, Oracle etc.• Build insights through statistical measures/algorithms/graphs/info graphics and communicate results in a business friendly format for stakeholders and leadership.• Evaluate models and establish robust tracking mechanisms for adoption and realized business outcomes; proactively follow up on lead utilization with use case owners.• Ensure Responsible AI practices: model governance, documentation, privacy-by-design, bias/robustness testing, explainability where required, and secure handling of customer data.• Manage and continuously improve the Data Science Operational Framework, including standards for reusable code, model registries, versioning, and release management in collaboration with Technology teams.• Work as part of a shared function across organization on use cases to support product growth, cost optimization, customer engagement and customer experience improvements.<br>Minimum Entry Qualifications:Bachelor’s Degree in Computer Science, Engineering or Similar<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Prior experience in data science and AI/ML-based advanced analytics, including hands-on development on leading data science platforms (Dataiku as the primary platform) using Python and R. Demonstrated expertise in predictive modelling for telecommunications (telco) customer analytics (e.g., churn prediction, propensity, customer lifetime value (CLV)) as well as segmentation,recommendation/decisioning systems, and timeseries forecasting. Experience implementing hyper-personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts. Practical knowledge of Gen AI/LLM solutions (e.g., prompt engineering, retrieval-augmentedgeneration, evaluation methodologies, and model guardrails) and hands-on experience using Gemini and/or Azure AI for automation and customer experience use cases, Strong command of SQL and PL/SQL for advanced feature extraction with large-scale data on enterprise data platforms (e.g., Teradata, Oracle, Big Query) Familiarity with MLOps practices – such as version control, pipeline orchestration, model registry,CI/CD deployment patterns, monitoring, and lifecycle management – within Dataiku and incollaboration with Technology teams. Understanding of Responsible AI principles, including privacy, security, and bias mitigation for AI models and automated decisioning. Excellent understanding of telecommunications commercial practices and customer journeys, andthe ability to work cross-functionally with Product, Marketing, Sales, Digital, Technology teams.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span><span><span><span><u><b>Job Description:</b></u></span></span></span></span></span></span></span><b>Details of the Division and Team</b><p><span>Deutsche Bank Research is responsible for economic and financial analysis within Deutsche Bank Group and covers asset allocation and all major industry sectors. We analyse relevant trends for the bank in financial markets, the economy and society, highlight risks and opportunities and act as consultant for the bank, its clients and stake-holders. </span></p><br><p><span>You will join the dbDIG team (Data Insights Group) that transforms alternative data, advanced analytics and artificial intelligence into client-facing investment research products and publications. In this role, you will shape how research questions become scalable data products, production-ready models, interactive dashboards, and practical artificial intelligence solutions used by analysts and clients. You will work at the intersection of research, data engineering, visualization, and artificial intelligence and help to demonstrate the bank’s applied analytics capability externally</span></p><br><p><b>What we will offer you</b></p><br><p>A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.</p><br><p><u>You can expect: </u></p><br><ul><li><p>Life Insurance&nbsp;</p><br></li><li><p>Accidental Death Insurance</p><br></li><li><p>&nbsp;Medical Insurance for you, your spouse and dependent children in country.</p><br></li><li><p>Flexible working arrangements</p><br></li><li><p>30 days of annual paid leave, plus public holiday &amp; Flexible Working Arrangement</p><br></li></ul><p><b>Your key responsibilities</b></p><br><ul><li><p><span>Drive the end-to-end alternative data agenda, partnering with analyst teams to turn research questions into scalable data products, from problem framing and data acquisition through signal development, statistical modeling, validation, and quality assurance.</span></p><br></li><li><p><span>Own data ingestion and validation standards for alternative datasets, using statistical, machine learning, and artificial intelligence-based checks to identify anomalies early and maintain high-quality inputs for modeling.</span></p><br></li><li><p><span>Collaborate with internal stakeholders across the full project lifecycle, while mentoring and helping manage junior team members working on data science projects.</span></p><br></li><li><p><span>Enhance data reporting by creating interactive dashboards, applications, geospatial maps, animations, and advanced visualizations.</span></p><br></li><li><p><span>Build practical artificial intelligence integrations, including application programming interfaces, model connection points, and secure access to internal data and research environments, to automate repetitive work and improve analyst productivity.</span></p><br></li></ul><p><b>Your skills and experience</b></p><br><ul><li><p><span>Experience building or managing alternative data, advanced analytics, or machine learning products in a research, financial services, or data-driven environment.</span></p><br></li><li><p><span>Strong capabilities in Python, PySpark, Tableau, data extraction, data quality testing, and working with large datasets in database or distributed computing environments.</span></p><br></li><li><p><span>Ability to translate complex research questions into clear analytical approaches, validated signals, and production-ready data products.</span></p><br></li><li><p><span>Experience creating dashboards, visualizations, or applications that make complex data easy for analysts and clients to understand and use.</span></p><br></li><li><p><span>Strong stakeholder management skills, with the ability to partner across research, technology, data engineering, and client-facing teams.</span></p><br></li><li><p><span>Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and compliant use of data and AI outputs.</span></p><br></li></ul><p><b>How we’ll support you</b></p><br><ul><li><p>Flexible working to assist you balance your personal priorities</p><br></li><li><p>Coaching and support from experts in your team</p><br></li><li><p>A culture of continuous learning to aid progression</p><br></li><li><p>A range of flexible benefits that you can tailor to suit your needs</p><br></li><li><p>Training and development to help you excel in your career</p><br></li></ul><p><b>About us and our teams</b></p><br><p>Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.</p><br><p><b>Deutsche Bank &amp; Diversity</b></p><br><p>We strive for a <span><u>culture</u></span> in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.</p><br><p>Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.</p><br><p>We welcome applications from all people and promote a positive, fair and inclusive work environment.</p><br> </div>

We are looking for an experienced Data Lead to provide leadership across data governance, data management, data acquisition, and data ingestion. The role will be responsible for establishing effective data practices, ensuring data quality and security, and leading technical data teams toward scalable and business-oriented solutions.<br>Key Responsibilities• Lead data governance, management, acquisition, and ingestion functions• Oversee the collection, management, integration, and storage of data• Develop and implement data management and governance strategies• Establish data acquisition practices that ensure data is properly sanitized, processed, structured, and optimized for utilization• Ensure data integration, development, escalation, and resolution processes comply with privacy and security standards• Lead and coordinate Data Architects, Data Engineers, and Data Scientists• Oversee data integration activities related to customer onboarding• Develop and manage data-sharing agreements with relevant stakeholders• Drive data-related operational and strategic decisions across multiple stakeholders• Participate in data governance forums and committees• Continuously improve data architecture, management capabilities, and processes throughout the product and solution lifecycle• Promote the effective use of data to support business objectives and informed decision-making<br>Skills & Experience• Strong experience in Data Governance, Enterprise Data Management, Business Intelligence, and Advanced Analytics• Experience in ICT, digital platforms, smart-city initiatives, or other large-scale technology environments is an advantage• Proven ability to lead and provide clear direction to multidisciplinary data teams• Strong understanding of the strategic and business value of data management and data monetization• Ability to assess data management capabilities from both technical and business perspectives• Demonstrated leadership and execution experience in large-scale programs involving multiple stakeholders• Strong expertise in Big Data Engineering and Cloud Data Platforms, preferably Azure• Good understanding of Machine Learning and Artificial Intelligence concepts and applications• Strong knowledge of Data Architecture and Data Governance, including Master Data Management (MDM), data quality, data security, and data integration• Strong stakeholder management, communication, and decision-making skills

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a&nbsp;<strong>Lead Data Governance</strong>for one of our clients with the following details:</p><br> <p><strong>Start Date: September 2026&nbsp;</strong></p><br> <p><strong>Duration:&nbsp;31-Aug-2027</strong></p><br> <p><strong>Location:&nbsp;Doha,&nbsp;Qatar&nbsp;</strong></p><br> <p><strong>Work status: Residential, Single</strong></p><br> <p>QUALIFICATIONS &amp; EXPERIENCE&nbsp;</p><br> <ul> <li>Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.</li> <li>10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.</li> <li>5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects.</li> <li>Strong hands-on experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards)</li> <li>Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality)</li> <li>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</li> <li>Experience in Change Management, Program management and Stakeholder management</li> <li>Experience in data integration methods</li> <li>Good understanding of Upstream and Downstream DIM requirements</li> <li>Good Knowledge of Database systems, EDMS solutions and BI Technologies</li> <li>Good Knowledge of Applications Architecture, Information Security Principles</li> <li>Fluent English both spoke and written</li> </ul> <p>&nbsp;ACTIVITIES&nbsp;</p><br> <p><strong>Manage enterprise data governance framework, strategy, and maturity</strong></p><br> <ul> <li>Lead the 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.</li> <li>Lead the improvement of data literacy across&nbsp;COMPANY to upskill the organization on the value and use of data</li> <li>Measure enterprise data governance maturity and set yearly plans to improvement goals</li> <li>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 serves on steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc)</li> <li>Applies 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.</li> </ul> <p><strong>Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations</strong></p><br> <ul> <li>Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations</li> <li>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</li> <li>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.</li> <li>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</li> <li>Enable digital use cases master data management scope by defining the data quality checks</li> <li>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</li> </ul> <p><strong>Implement and maintain solutions to manage data governance</strong></p><br> <ul> <li>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</li> <li>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</li> <li>Responsible for capturing business data challenges and propose solutions to overcome it</li> <li>Report the progress and challenges to senior management through Data Council and DPG Steer Co.</li> </ul> <p><strong>Defines polices, standards and guidelines for data governance</strong></p><br> <ul> <li>Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs</li> <li>Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance</li> <li>Ensure and monitor the adherence to all data policies, procedures, and guidelines</li> <li>Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data.</li> <li>Aligns with the data operations to ensure it fulfils the data governance requirements</li> <li>Upskills developees on data governance and management</li> </ul> <br> </div>

Hiring: Senior Data Architect (Data & AI) Location: Doha, Qatar Industry: Banking / Financial Services Experience: 12+ years overall (min. 7 years in Data Architecture) GCC/Qatar Banking Experience Mandatory<br>Role Overview Strategic role responsible for governing the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization. Strong focus on Responsible AI, data governance, and enterprise-scale architecture design. Key Responsibilities Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives. 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 for compliance with Data Governance, Data Quality, Security, and Privacy requirements. Assess AI use cases from a technical architecture lens — data sourcing, integration, scalability, performance, and alignment with target architecture. Establish technical controls for Responsible AI (RAI) — data validation, bias detection, explainability, traceability, and monitoring. Evaluate vendor solutions for alignment with enterprise architecture standards, integration, security, and performance. Conduct data-focused assessments of third-party solutions for data protection, privacy, and regulatory compliance. Review BRS, solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective. Govern data integration frameworks — ETL/ELT, APIs, streaming, and batch data flows. Support regulatory compliance initiatives, audits, and architecture governance forums. Act as SME in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills & Experience7–10+ years in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines — banking/financial services experience required, GCC/Qatar preferred. Strong grasp of enterprise data architecture, data modeling, integration, and governance frameworks. Hands-on knowledge of modern data platforms — data warehouses, lakehouses, ETL/ELT, analytics ecosystems. Understanding of AI/ML data ecosystems and Responsible AI principles. Experience reviewing architecture across on-prem, cloud, and hybrid environments. Familiarity with Data Governance, Data Quality, Metadata Management, and regulatory data requirements. Strong stakeholder management and communication skills across business, tech, risk, and compliance teams. Certifications such as TOGAF, DAMA, CDMP, or Cloud Architecture certifications preferred. Immediate joiners preferred.

We are looking for a Data Quality Lead to establish and manage the enterprise Data Quality Management Framework across the organization. The role will ensure data is accurate, complete, consistent, timely, and fit for purpose across banking, regulatory reporting, risk, finance, analytics, and AI initiatives. Key Responsibilities:Develop and implement Data Quality Framework, standards, policies, controls, KPIs/KRIs and scorecards. Define and monitor Data Quality Rules for Critical Data Elements (CDEs). Lead Data Quality Issue Management, including root-cause analysis, remediation, escalation, and closure. Monitor data quality through dashboards, scorecards and management reporting. Support regulatory reporting, risk, finance, compliance and audit requirements. Ensure data quality for AI, analytics and ML initiatives. Work closely with Data Owners, Data Stewards, IT, Risk, Finance, Compliance and Business teams. Drive enterprise-wide Data Governance and Data Quality maturity. Required Experience:8–12 years in Data Governance, Data Quality, Data Management, Risk Data or Regulatory Data. Banking/Financial Services or another highly regulated industry is required. Strong knowledge of Data Quality, Data Governance, Data Lineage, Metadata, MDM and Reference Data. Experience with Informatica, Collibra, Microsoft Purview, ABACUS or similar platforms. Strong stakeholder management and governance experience.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking Senior Data Architect (Data &amp; AI) for our Qatar operations with the following terms &amp; conditions.</p><br><p>Required Skills and Experience</p><br><p>• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.</p><br><p>• Strong knowledge of enterprise data architecture</p><br><p>• principles, data modeling, data integration, and data governance frameworks.</p><br><p>• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.</p><br><p>• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.</p><br><p>• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.</p><br><p>• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.</p><br><p>• Strong analytical, architectural, and stakeholder management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.</p><br><p>Key Responsibilities</p><br><p>• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.</p><br><p>• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.</p><br><p>• 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.</p><br><p>• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.</p><br><p>• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.</p><br><p>• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.</p><br><p>• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.</p><br><p>• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.</p><br><p>• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.</p><br><p>• Support regulatory compliance initiatives, audits, and architecture governance forums.</p><br><p>• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums.</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br><br> </div>

<p>Job Description We are currently looking Senior Data Architect (Data &amp; AI) for our Qatar operations with the following terms &amp; conditions.</p><p><strong>Desired Candidate Profile</strong></p><p>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.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking Senior Data Architect (Data &amp; AI) for our Qatar operations with the following terms &amp; conditions.</p><br><p>Required Skills and Experience</p><br><p>• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.</p><br><p>• Strong knowledge of enterprise data architecture</p><br><p>• principles, data modeling, data integration, and data governance frameworks.</p><br><p>• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.</p><br><p>• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.</p><br><p>• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.</p><br><p>• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.</p><br><p>• Strong analytical, architectural, and stakeholder management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.</p><br><p>Key Responsibilities</p><br><p>• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.</p><br><p>• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.</p><br><p>• 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.</p><br><p>• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.</p><br><p>• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.</p><br><p>• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.</p><br><p>• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.</p><br><p>• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.</p><br><p>• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.</p><br><p>• Support regulatory compliance initiatives, audits, and architecture governance forums.</p><br><p>• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums.</p><br><p>Joining time frame: 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>We are currently looking Senior Data Architect (Data &amp; AI) for our Qatar operations with the following terms &amp; conditions.</p><br><p>Required Skills and Experience</p><br><p>• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.</p><br><p>• Strong knowledge of enterprise data architecture</p><br><p>• principles, data modeling, data integration, and data governance frameworks.</p><br><p>• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.</p><br><p>• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.</p><br><p>• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.</p><br><p>• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.</p><br><p>• Strong analytical, architectural, and stakeholder management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.</p><br><p>Key Responsibilities</p><br><p>• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.</p><br><p>• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.</p><br><p>• 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.</p><br><p>• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.</p><br><p>• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.</p><br><p>• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.</p><br><p>• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.</p><br><p>• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.</p><br><p>• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.</p><br><p>• Support regulatory compliance initiatives, audits, and architecture governance forums.</p><br><p>• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums.</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br><br> </div>

Nair Systems is currently looking for Data Quality Lead for our Qatar operations Qualifications & Experience• Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.• 8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.• Experience within banking, financial services, or other highly regulated industries is required.• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.• Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions. Key Responsibilities• Data Quality Governance & Framework• Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.• Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.• Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.• Data Quality Oversight & Monitoring• Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.• Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.• Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.• Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.• Data Issue Management & Escalation• Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.• Maintain Enterprise Data Quality Issue management register• Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.• Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.• Regulatory Reporting & Risk Data Quality• Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.• Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.• Support regulatory examinations, audits, and data-related reviews.• Data & AI Enablement• Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.• Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.• Support the implementation of data quality controls throughout the data and AI lifecycle.• Stakeholder Engagement• Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.• Promote data quality awareness, accountability, and stewardship across the Group.• Facilitate working groups and governance forums focused on data quality improvement initiatives. Joining time frame: 2 weeks (maximum 1 month) Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest at nishanthini.suda@nairsystems.com