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Job Description
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
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.
We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.
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.
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
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.
We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.
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.
Job Requirements
Candidates should have a Master's degree in a relevant field and 12-15 years of experience in data strategy or analytics, with at least 5 years in a senior leadership role.
Experience in Retail or adjacent sectors with complex data ecosystems is essential.
Experience in Retail or adjacent sectors with complex data ecosystems is essential.