214 Data Governance Officer jobs in the United Arab Emirates

Job Overview

This role is responsible for leading the strategic direction of data and AI initiatives across the organization.

The successful candidate will ensure that data governance frameworks, policies, and practices are aligned with business goals.

The goal is to drive the effective use of data as a strategic asset.

Empowering employers, agencies, and sectors to make informed, data-driven decisions.

Key Responsibilities

• Shaping and overseeing the strategic direction of data and AI initiatives
• Ensuring data governance frameworks, policies, and practices are aligned with business goals
• Driving the effective use of data as a strategic asset
• Empowering employers, agencies, and sectors to make informed, data-driven decisions

Requirements

1. Citizenship: UAE National
2. Experience: 3-5 years; the more experience, the better the salary
3. Education: Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field. A Master's degree is preferred.
4. Certifications:
   • Certified Data Management Professional (CDMP) Data Quality
   • Certified Data Management Professional (CDMP) Master
   • Certified Information Management Professional (CIMP)
   • AWS Certified Solutions Architect – Professional
   • Microsoft Certified: Azure Solutions Architect Expert
   • Certified Artificial Intelligence Practitioner (CAIP)
   • Certified Information Systems Security Professional (CISSP)
   • Project Management Professional (PMP)
   • TOGAF 9
5. Experience: 14 years in data management with a minimum of 3-5 years in a leadership or managerial role.
6. Skills:
   • Flexible team player capable of prioritizing and managing multiple projects
   • Goal-driven leader motivating and coaching employees to high performance
   • Results-oriented with strong planning, organizational, and detail skills
   • Proficiency in data management tools and software (e.g., SQL, ETL tools, data visualization tools)
   • Strong understanding of data governance, data quality, and data security principles
   • Excellent verbal and written communication skills
   • Resourceful team player skilled at building trusting relationships

Benefits

Attractive salary range: AED 40,000 – AED 55,000 per month, depending on experience. Full Government of Dubai benefits.

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Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A"rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

Overview of the role

In a rapidly evolving data and AI landscape, Al-Futtaim Retail is committed to leading transformation across the retail sector by harnessing the strategic power of data and artificial intelligence.

The Chief of Data Strategy& Analytics will be responsible for driving Retail enterprise-wide initiatives that leverage data and AI to enhance business performance, elevate customer engagement, and unlock new growth opportunities.

This role is centered on enabling business transformation—not just through technical execution, but by shaping and steering data-driven strategies that align with Retail Division's commercial objectives. The Chief of Data Strategy & Analytics will lead the development of AI-enabled products and services across the organization's portfolio, ensuring that data becomes a core enabler of innovation, operational excellence, and competitive advantage.

The individual will collaborate closely with cross-functional teams—including business leaders, marketing, data practitioners, and the Group Technology & Digital Platforms (GTDP) team—to translate strategic priorities into scalable data and AI initiatives. They will ensure that business needs are clearly articulated, and that solutions are designed to deliver measurable impact.

This role also involves engaging with executive leadership, functional heads, external partners, and vendors to foster alignment, drive adoption, and ensure successful delivery of data-led transformation programs.

What you will do: -

Description of Accountability:

Financial Dimensions:

The Chief of Data Strategy& Analytics of Retail will play a pivotal role in shaping and executing Al-Futtaim Retail's data and AI strategy to unlock new sources of business value. By embedding data and AI capabilities across the business portfolio, this role directly contributes to bothtop-line growthandbottom-line efficiency.

Through strategic planning and leadership of data-driven transformation initiatives, the role will enable:

• Revenue Expansion : By identifying and activating AI-powered opportunities that enhance customer engagement, personalize offerings, and open new service lines.
• Cost Optimization : By streamlining operations, improving decision-making, and automating processes through data intelligence.
• Value Realization : By ensuring that data assets are leveraged to drive measurable business outcomes across functions such as sales, leasing, asset management, and customer experience

This role is not only responsible for guiding the strategic direction of data and AI initiatives but also for ensuring their financial impact is tracked, reported, and aligned with division's broader commercial goals.

• Strategic Leadership
  Lead the development and execution of a data and AI strategy that supports business growth, operational efficiency, and customer-centric innovation.
• Transformation Enablement
  Champion data-driven transformation initiatives, ensuring that data and AI capabilities are embedded into core business processes, decision-making, and service delivery.
• Business Alignment
  Collaborate with senior leadership to identify high-impact opportunities where data and AI can deliver measurable business outcomes, such as revenue growth, cost optimization, and risk mitigation.
• Portfolio Oversight
  Oversee a portfolio of data and AI programs, ensuring alignment with business priorities and managing cross-functional dependencies to deliver value at scale.
• Stakeholder Engagement
  Act as a bridge between business units and data teams, translating strategic objectives into actionable data initiatives and ensuring stakeholder buy-in and adoption.
• Governance & Ethics
  Establish and uphold data governance frameworks, ensuring compliance with regulatory standards and promoting ethical use of AI across the organization.
• Innovation & Thought Leadership
  Stay ahead of industry trends and emerging technologies, providing strategic guidance on how innovations in data and AI can be leveraged to maintain competitive advantage.
• Culture Building
  Foster a culture of data literacy, innovation, and continuous improvement, empowering teams to use data as a strategic asset.

Required Skills to be successful:

• Strategic Leadership: Ability to define and execute a data and AI strategy that aligns with business transformation goals.
• Business Acumen: Deep understanding of Retail business operations, value drivers, and how data can unlock efficiencies and growth.
• Data Governance & Ethics: Expertise in establishing governance frameworks, ensuring compliance, and promoting ethical AI use.
• Stakeholder Engagement: Skilled in translating business needs into data initiatives and securing cross-functional buy-in.
• Change Management: Proven ability to lead cultural and operational shifts toward data-driven decision-making.
• AI Literacy & Enablement: Familiarity with AI concepts (LLMs, ML, GenAI) and ability to guide non-technical teams in their adoption.
• Portfolio Oversight: Experience managing a portfolio of data and AI initiatives across multiple business units.

What equips you for the role:

• Master's degree in business administration, Data Science, Economics, or a related field
• Participation in executive data literacy programs and AI strategy workshops is highly valued.
• 12–15 years in data strategy, analytics, or transformation roles, with at least 5 years in a senior leadership capacity.
• Experience in Retail or adjacent sectors with complex data ecosystems.
• Transformation Leadership: Demonstrated success in leading enterprise-wide data modernization or AI-driven transformation programs.
• Proven track record of working with finance, operations, marketing, and technology teams to deliver business outcomes.

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Before you click "apply": Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.

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Job Requisition ID:

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A"rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

Overview Of The Role

In a rapidly evolving data and AI landscape, Al-Futtaim Retail is committed to leading transformation across the retail sector by harnessing the strategic power of data and artificial intelligence.

The Chief of Data Strategy & Analytics will be responsible for driving Retail enterprise-wide initiatives that leverage data and AI to enhance business performance, elevate customer engagement, and unlock new growth opportunities.

This role is centered on enabling business transformation—not just through technical execution, but by shaping and steering data-driven strategies that align with Retail Division's commercial objectives. The Chief of Data Strategy & Analytics will lead the development of AI-enabled products and services across the organization's portfolio, ensuring that data becomes a core enabler of innovation, operational excellence, and competitive advantage.

The individual will collaborate closely with cross-functional teams—including business leaders, marketing, data practitioners, and the Group Technology & Digital Platforms (GTDP) team—to translate strategic priorities into scalable data and AI initiatives. They will ensure that business needs are clearly articulated, and that solutions are designed to deliver measurable impact.

This role also involves engaging with executive leadership, functional heads, external partners, and vendors to foster alignment, drive adoption, and ensure successful delivery of data-led transformation programs.

What you will do: -

Description of Accountability:

Financial Dimensions:

The Chief of Data Strategy & Analytics of Retail will play a pivotal role in shaping and executing Al-Futtaim Retail's data and AI strategy to unlock new sources of business value. By embedding data and AI capabilities across the business portfolio, this role directly contributes to both top-line growth and bottom-line efficiency.

Through strategic planning and leadership of data-driven transformation initiatives, the role will enable:

• Revenue Expansion: By identifying and activating AI-powered opportunities that enhance customer engagement, personalize offerings, and open new service lines.
• Cost Optimization: By streamlining operations, improving decision-making, and automating processes through data intelligence.
• Value Realization: By ensuring that data assets are leveraged to drive measurable business outcomes across functions such as sales, leasing, asset management, and customer experience
  
  

• Strategic Leadership Lead the development and execution of a data and AI strategy that supports business growth, operational efficiency, and customer-centric innovation.
• Transformation Enablement Champion data-driven transformation initiatives, ensuring that data and AI capabilities are embedded into core business processes, decision-making, and service delivery.
• Business Alignment Collaborate with senior leadership to identify high-impact opportunities where data and AI can deliver measurable business outcomes, such as revenue growth, cost optimization, and risk mitigation.
• Portfolio Oversight Oversee a portfolio of data and AI programs, ensuring alignment with business priorities and managing cross-functional dependencies to deliver value at scale.
• Stakeholder Engagement Act as a bridge between business units and data teams, translating strategic objectives into actionable data initiatives and ensuring stakeholder buy-in and adoption.
• Governance & Ethics Establish and uphold data governance frameworks, ensuring compliance with regulatory standards and promoting ethical use of AI across the organization.
• Innovation & Thought Leadership Stay ahead of industry trends and emerging technologies, providing strategic guidance on how innovations in data and AI can be leveraged to maintain competitive advantage.
• Culture Building Foster a culture of data literacy, innovation, and continuous improvement, empowering teams to use data as a strategic asset.
  
  

• Strategic Leadership: Ability to define and execute a data and AI strategy that aligns with business transformation goals.
• Business Acumen: Deep understanding of Retail business operations, value drivers, and how data can unlock efficiencies and growth.
• Data Governance & Ethics: Expertise in establishing governance frameworks, ensuring compliance, and promoting ethical AI use.
• Stakeholder Engagement: Skilled in translating business needs into data initiatives and securing cross-functional buy-in.
• Change Management: Proven ability to lead cultural and operational shifts toward data-driven decision-making.
• AI Literacy & Enablement: Familiarity with AI concepts (LLMs, ML, GenAI) and ability to guide non-technical teams in their adoption.
• Portfolio Oversight: Experience managing a portfolio of data and AI initiatives across multiple business units.
  
  

• Master's degree in business administration, Data Science, Economics, or a related field
• Participation in executive data literacy programs and AI strategy workshops is highly valued.
• 12–15 years in data strategy, analytics, or transformation roles, with at least 5 years in a senior leadership capacity.
• Experience in Retail or adjacent sectors with complex data ecosystems.
• Transformation Leadership: Demonstrated success in leading enterprise-wide data modernization or AI-driven transformation programs.
• Proven track record of working with finance, operations, marketing, and technology teams to deliver business outcomes.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Sales
• Industries Retail

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Driven to drive business performance, we seek a strategic and analytical professional to fill the role of Data Analyst.

We are looking for an exceptional data-driven thinker who can collect, process, and analyze large datasets to inform business decisions and drive growth. The successful candidate will work closely with cross-functional teams to develop actionable insights, dashboards, and reports that contribute to operational efficiency and success.

• Collect and clean structured and unstructured data from various sources using SQL, Excel, and data visualization tools like Tableau, Power BI, or Looker.
• Analyze data to identify trends, patterns, and anomalies using statistical analysis and machine learning techniques.
• Develop and maintain dashboards, visualizations, and reports to present findings to non-technical stakeholders.
• Collaborate with cross-functional teams to understand data needs and business goals.
• Monitor key performance indicators (KPIs) and track business performance metrics.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proven experience (2+ years) in data analysis or a related role.
• Strong analytical, problem-solving, and critical-thinking skills.
• Experience with programming languages such as Python or R is a plus.
• Familiarity with data warehousing, cloud platforms (AWS, Azure, or GCP), and BI best practices.

• Opportunity to work with a talented team of professionals.
• Chance to grow and develop your career in data analytics.
• Competitive compensation package.

Downstream Data Specialist

• Drive innovation through data assets and analytics to create business value.
• Identify and solve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Develop and optimize Machine Learning models and pipelines for efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.

• Apply MLOps and DevOps practices to drive ideas from conception to production.
• Collaborate with cross-functional teams to develop data-driven solutions.
• Publish research papers for peer-reviewed journals and present findings to advance industry knowledge.

• Bachelor's degree in a quantitative field such as Data Science or Computer Science.
• 15 years of experience in Data Science, NLP, Computer Vision, and/or ML projects in the Oil & Gas Industry.
• Expertise in MLOps, DevOps, AIOps, DataOps, and related operational frameworks.

Job Title: Data Strategy Expert

We are seeking a highly skilled Data Strategy Expert to lead the development and implementation of data-driven initiatives that drive business growth and digital transformation.

The ideal candidate will have a strong background in data science, AI, and strategic planning, with excellent communication and stakeholder engagement skills.

• Bachelor's or Master's degree in Data Science, AI, Computer Science, Public Policy, or related fields.
• Proven experience in data strategy, digital transformation, or advisory roles.
• Strong research, analytical, and strategic planning skills.
• Ability to engage, mobilize, and influence diverse stakeholders.
• Excellent communication and presentation skills.
• Familiarity with data governance frameworks and regulatory compliance.
• Experience in creating awareness materials, reports, and policy advisory documents.

This is an exciting opportunity to work on high-impact projects, collaborate with cross-functional teams, and develop your expertise in data strategy and digital transformation.

You will be part of a dynamic and supportive team, working in a fast-paced environment that requires adaptability and innovative thinking.

We encourage professional growth and development, offering opportunities for training, mentorship, and career advancement.

In addition, you will have access to cutting-edge technology, resources, and tools to help you succeed in your role.

Job Opportunity: Data Manager

Join a dynamic team and take on the role of Data Manager. As a key member of our organization, you will play a crucial part in overseeing data collection, analysis, and management across multiple schools.

• Work closely with Examination Officers to ensure seamless data exchange and collaboration.
• Deliver insightful examination result analysis to inform strategic decisions.
• Develop and implement effective data collection methods, ensuring accuracy and efficiency.
• Provide administrative support to staff members, facilitating smooth day-to-day operations.
• Collaborate with corporate office teams to drive organizational growth.
• Oversee complex administrative procedures, streamlining processes for maximum impact.

The ideal candidate will inherit a 2-year project from a seasoned Data Analyst who has established robust systems and dashboards. Building upon this foundation, you will have the opportunity to make a tangible difference in student outcomes.

• Senior-level entry point with a strong focus on development.
• Full-time employment with a dynamic organization.
• Information Technology expertise, specifically in data management.
• Home Health Care Services industry background an asset.

We are seeking an experienced leader to drive the regional strategy and adoption of our Merchant Data Platform across various regions. This individual will spearhead the data acquisition efforts, ensuring seamless client and internal stakeholder management.

This is a dynamic role that requires a deep understanding of data strategy, governance, and management practices, as well as strong analytical and problem-solving skills. The ideal candidate will have a proven track record in leading high-performing teams, excellent communication and relationship-building abilities, and a passion for leveraging data to drive business outcomes.

Key Responsibilities:

• Own the regional strategy and adoption for the Merchant Data Platform.
• Lead the regional data acquisition efforts, overseeing essential aspects like data ingestion, data quality, data enrichment, and data distribution.
• Implement best practices for data management, including data quality measurement, data enrichment processes, and data distribution mechanisms.
• Monitor and analyze product performance metrics using data-driven insights to identify areas for optimization and drive continuous improvement.

Required Skills and Qualifications

The ideal candidate will possess the following skills and qualifications:

• Minimum 12 years of experience in an analytical field such as computer science, data science, finance, economics, or adjacent areas.
• 5 years of experience leading data management functions and related processes such as data engineers or data scientists.
• 1 year of experience with cloud technologies.
• 5 years of experience managing large global and distributed teams to scope and deliver business outcomes preferably in a financial services or consulting setting.
• Familiarity with payments, lending, and consulting is a strong plus.
• Fundamental and broad knowledge of common data management and data engineering tools and methodologies.
• Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team.
• Ability to work effectively within a large matrixed organization.

Benefits

This is a hybrid position that offers a range of benefits, including:

• A competitive salary and bonus structure.
• A comprehensive benefits package, including health insurance, retirement savings, and paid time off.
• The opportunity to work with a talented and diverse team of professionals.
• The chance to develop and grow your skills and career in a fast-paced and dynamic environment.

Others

Please note that this is a full-time position that requires a strong commitment to delivering results and meeting deadlines. If you are a motivated and ambitious professional who is passionate about data and driving business outcomes, we encourage you to apply for this exciting opportunity.

Our organization is seeking a Data Strategy Consultant to collaborate closely with business stakeholders and IT teams. The ideal candidate will possess strong analytical and problem-solving abilities, as well as excellent communication, presentation, and negotiation skills.

• Evaluate client data strategies and specific use cases.
• Collaborate with clients to understand their data-related challenges, objectives, and requirements.
• Develop a comprehensive data roadmap focusing on data sharing and AI implementation.
• Examine the current data operating model, including functions, skills, processes, and department interactions.
• Design a future data operating model, including detailed descriptions of functions, processes, governance structures, and tooling enablers.
• Analyze the current data architecture, including cloud infrastructure and existing data platforms.
• Conduct interviews with business stakeholders to understand their use-case requirements and needs, focusing on AI and data sharing.
• Identify and launch initiatives for data quality improvement.

Desired Qualifications:

• Bachelor's or master's degree in data science, computer science, information systems, or related fields.
• MBA or equivalent advanced degree preferred.
• Minimum 5 years in data consulting or related roles, with at least 3 years in senior/managerial positions.
• Proven track record managing large-scale complex data initiatives with measurable outcomes.
• Deep understanding of business impact through the use of big data technologies, AI, and machine learning.
• Excellent analytical and problem-solving abilities.
• Strong communication, presentation, and negotiation skills.
• Relationship-building with executive stakeholders.
• Results-oriented strategic thinking.
• Strong Consulting toolkit.