200 Chief Data Officer jobs in the United Arab Emirates

A key challenge in many organizations is establishing a centralized data governance framework. This role will play a critical part in addressing this challenge.

1. Develop and implement a comprehensive strategy for data governance within the organization, ensuring alignment with business objectives and regulatory requirements.
2. Define the data governance vision, mission, and core principles, and work with stakeholders to ensure buy-in and support.
3. Implement a data governance framework that balances self-service data access with data integrity and responsible use.
4. Design and execute a communication strategy to educate stakeholders on data governance best practices and importance.
5. Foster a data-driven culture where business units understand the value of data governance and actively participate in data stewardship.
6. Collaborate with business leaders to identify and prioritize data initiatives that align with strategic objectives.

• Bachelor's degree in a related field such as business administration or information technology, with a minimum of 8 years of experience in data governance and strategy.
• Proven track record of successfully leading data governance programs in large-scale organizations.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
• Strategic mindset with a focus on business outcomes and data-driven decision making.

Our organization is seeking a highly skilled Data and Analytics Professional to lead the development of innovative data strategies and solutions.

Key Responsibilities:

• Develop a comprehensive data strategy that aligns with our organizational goals and objectives.
• Oversee the stewardship of data management, ensuring data quality, enforcing data governance protocols, and driving business intelligence initiatives.
• Lead the creation of a data integration strategy to enable seamless data flow across the organization.
• Ensure the vision is aspirational, aligned with business goals, and inspires action across all levels of the organization.
• Establish the data architecture for our organization, identifying data sources, applications, databases, third-party systems, data feeds, and data exchanges across business functions.
• Review and approve comprehensive ROI analyses to justify investments in the data platform.
• Define key performance indicators (KPIs) to measure platform success and ensure alignment with strategic goals.
• Select vendors for data platform components through a thorough evaluation process.
• Negotiate contracts to ensure favorable terms and conditions that align with strategic objectives.
• Develop a comprehensive roadmap for selecting business intelligence tools that align with business requirements and technical capabilities.
• Use KPIs to drive strategic decision-making and measure the success of BI initiatives.
• Lead the creation of a robust data governance framework, emphasizing policies and practices aligned with national and international regulations.
• Ensure the framework supports our organization's strategic objectives and regulatory compliance.
• Oversee the classification of data based on sensitivity and criticality, ensuring adherence to relevant regulations.
• Manage the effective achievement of our organization's objectives by setting individual targets, developing, and motivating staff, and providing formal and informal constructive feedback and appraisal – to maximize subordinate and departmental performance.

Requirements:

• Bachelor's degree in computer science, Information Technology, or Statistics, Mathematics or a related discipline.
• Certified Data Management Professional (CDMP).
• 7+ years of relevant experience.

Why Apply?

Long-term career stability with a leading organization.

Excellent project exposure and resources.

Competitive compensation and benefits.

A clear path for career growth and progression.

Lead Enterprise-Wide Data Modernization

In today's fast-paced business landscape, leveraging data and artificial intelligence is crucial for driving growth, operational efficiency, and customer-centric innovation. Al-Futtaim Retail seeks a visionary leader to spearhead their enterprise-wide data modernization efforts, harnessing the strategic power of data and AI to unlock new sources of business value.

The ideal candidate will be responsible for driving strategic planning and leadership of data-driven transformation initiatives, ensuring seamless collaboration with cross-functional teams, including finance, operations, marketing, and technology. This role requires a deep understanding of retail business operations, value drivers, and how data can unlock efficiencies and growth.

The Chief of Data Strategy & Analytics will lead the development and execution of a data and AI strategy that supports business growth, operational efficiency, and customer-centric innovation. Key responsibilities include:

• Strategic Leadership: Define and execute a data and AI strategy that aligns with business transformation goals.
• Data Governance & Ethics: Establish and uphold data governance frameworks, ensuring compliance with regulatory standards and promoting ethical use of AI across the organization.
• 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.

This is an exceptional opportunity for a seasoned professional to shape the future of Al-Futtaim Retail's data and AI capabilities, driving business outcomes and staying ahead of industry trends. If you are a strategic leader with a passion for data-driven innovation, we encourage you to apply.

What We Offer:

• A dynamic and supportive work environment
• Opportunities for career growth and professional development
• Collaborative team culture

We're committed to making this opportunity available to candidates who are passionate about data-driven innovation and willing to bring their expertise to the forefront.

A seasoned Data Engineer is sought after to spearhead the delivery of cutting-edge data solutions, driving business value through strategic data analysis and innovation.

Responsibilities include:

• Reviewing and analyzing diverse data sources for quality, completeness, and business relevance
• Designing, architecting, implementing, and testing rapid prototypes to showcase data insights to various stakeholders
• Participating in early-state design and feature definition activities to inform product development
• Implementing robust data pipelines using Microsoft and Databricks stacks, ensuring scalability and maintainability
• Collaborating with cross-functional teams to integrate proven prototypes into core intelligence products

Required skills and qualifications include:

• Advanced knowledge of relational and non-relational databases
• Experience building and optimizing Big Data data pipelines, architectures, and datasets
• Proficiency in Azure Data Factory, Databricks, Event Hub, Python, PySpark, Azure Synapse, and SQL
• Azure DevOps experience for deploying ADF pipelines
• Minimum 3-5 years of industry experience
• Knowledge of Azure cloud stack

We are seeking a seasoned Data Security Consultant to spearhead our security initiatives. The ideal candidate will possess over 8 years of experience in data security consulting.

• Bachelor's degree in Computer Science, Information Assurance, or related field; Master's degree preferred.
• Minimum 8+ years of experience as a Data Security Consultant.
• Proven expertise in security solutions such as DLP, data classification, web security, DRM/IRM tools, Symantec Security Analytics, HSM, email security, and Microsoft PKI.
• Conduct thorough risk assessments to identify and prioritize security risks and vulnerabilities.
• Cybersecurity audits and assessments to ensure compliance with regulatory and industry standards for PDCA.
• Develop and implement effective security strategies, policies, and procedures to safeguard client systems, networks, and data.
• Design and implement robust data security solutions.
• Provide guidance and training to client teams on cybersecurity best practices and industry standards.
• Collaborate with cross-functional teams to ensure seamless communication and coordination of security efforts.

Quantitative Developer

Our organization seeks a highly skilled Quantitative Developer to develop innovative Python-based solutions for trading strategies, collaborate with quantitative experts, and optimize algorithms and models for real-time performance.

• Develop quantitative models using Python and associated libraries (e.g., NumPy, pandas, SciPy).
• Collaborate with teams of quants, researchers, and traders to translate investment strategies into efficient, production-ready code.
• Enhance existing trading algorithms, ensuring they operate efficiently in high-performance environments.
• Leverage large datasets to identify market trends, correlations, and inefficiencies.
• Conduct backtests and model validation to ensure strategies meet risk management standards and produce reliable results.
• Continuously optimize models and systems to ensure they scale effectively and perform under real-time constraints.

Requirements:

• Expertise in Python programming and associated libraries.
• Strong understanding of mathematical and statistical concepts.
• Ability to work collaboratively with cross-functional teams.
• Excellent problem-solving and analytical skills.

Benefits:

• Opportunity to work on cutting-edge projects and contribute to the development of innovative trading strategies.
• Chance to collaborate with experienced quantitative experts and researchers.
• Professional growth and development opportunities.

As a Chief Data Protection Officer, you will play a critical role in ensuring compliance with data protection regulations.

The organization's Group Data Protection Office is responsible for developing strategy, policies, systems, procedures, and controls in the context of data protection laws and regulations in the markets where the organization operates.

You will anticipate and identify data protection risks, initiating corrective actions to protect the organization's interests.

Key Responsibilities:

• Assist with governance and oversight of data protection laws, including GDPR.
• Develop and embed processes to detect, investigate, assess risks, and record data protection incidents and breaches.
• Serve as the primary contact for reporting data protection breaches.
• Review breaches and advise on next steps.
• Conduct or assist investigations of suspected data protection breaches.
• Generate breach reports.
• Assist with disciplinary, legal, and remedial actions as needed.
• Liaise with individuals regarding breaches.
• Establish processes for reporting breaches to regulatory authorities and communicate with them as necessary.
• Deliver excellent customer service and provide solutions that meet customer needs and build trust.
• Submit management information and performance metrics.

Requirements:

• Solid knowledge of data protection concepts, principles, and standards.
• Proven experience advising on complex compliance regulations.
• Experience maintaining key documents such as plans, strategies, risk registers, and briefings.

Benefits of this role include:

• Opportunity to work with a dedicated team to drive data protection initiatives.
• Professional development and growth opportunities.
• Collaborative and dynamic work environment.

About the role: The ideal candidate will have a strong understanding of data protection laws and regulations. They will be able to develop and implement effective data protection strategies and lead a team to achieve these objectives.

We're looking for a skilled data professional to drive business growth through data-driven insights.

• Owning and scaling our dbt-based data marts and dashboards to inform strategic decision-making
• Delivering actionable insights that improve Customer Acquisition Cost (CAC), churn, and customer satisfaction
• Supporting high-impact projects and new business initiatives across the organization

This is an in-person role based in Dubai, UAE.

• Mid-Senior level position
• Full-time employment
• Data Science job function
• Food and Beverage Services industry

Data Analyst Position

We are seeking a skilled and detail-oriented professional to fill the Data Analyst role. As a key member of our team, you will play a critical part in collecting, analyzing, and interpreting large data sets from various sources.

This includes sales, market, consumer, and category data. Your responsibilities will involve building insightful data-driven strategies that drive business growth and consumer engagement.

• Analyze complex datasets from multiple sources (sales, market research, consumer behavior, category performance).
• Develop and maintain dashboards and reports using Power BI to visualize trends and performance metrics.
• Translate data into clear, compelling insights and strategic recommendations for marketing initiatives.
• Assist in market segmentation, customer profiling, and identifying growth opportunities.
• Collaborate with cross-functional teams, including Sales, Category, and Product, to align data insights with business objectives.
• Evaluate data integrity and accuracy through consistent validation and quality checks.
• Prepare presentations and reports to communicate findings to both technical and non-technical stakeholders.

Key Operational Responsibilities:

• Maintain organized documentation of research plans and deliverables.
• Stay updated on industry news, sales numbers, best practices, and emerging trends to inform strategies.
• Support senior management in day-to-day tasks and project management.

Functional/Technical Competencies:

• Exceptional written and verbal communication skills.
• High attention to detail and ability to work independently.
• Eager to learn and grow in a fast-paced environment.
• Collaborative and a team player with a proactive attitude.
• Adaptable and open to feedback.

Required Experience:

• A minimum of 13 years of experience in a similar Data Analyst role.
• Prior experience in a retail or consumer-focused environment is highly valued.
• Demonstrated expertise in data reporting, trend analysis, and dashboard creation.