83 Data Strategy jobs in the United Arab Emirates

Data Strategy Lead

Abu Dhabi, Abu Dhabi beBeeMachineLearning

Posted today

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Job Description

Job Title:

Downstream Data Specialist

Job Overview:
  • 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.
Key Responsibilities:
  • 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.
Requirements:
  • 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.
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Senior Data Strategy Consultant

Dubai, Dubai Artefact

Posted 6 days ago

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Job Description

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

What you will be doing

The senior consultant will manage all these actions:

  • Definition of the strategy to be implemented to meet customer objectives,
  • Identify the appropriate tools and make recommendations to clients;
  • Implementation of relevant tools (datalake, DMP, etc.)
  • Execution of campaigns, data enrichment, creation of content related to the customer journey, measurement and management of campaigns.
What we are looking for

Graduated from Business school or Engineering, the most important qualities in our eyes are intellectual curiosity, autonomy, and dynamism.

We are looking for profiles with the double hat “business” and “data”, with at least 3 years of experience, ideally in a digital marketing consulting firm (agency, advertiser, advertising network, media, cross-functional missions), and in the use of BI tools or data analysis.

With a good technical knowledge, you already have a first understanding of digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,.).

Why you should join us
  • Artefact is the place to be: come and build the future of marketing.
  • Progress: every day offers new challenges and new opportunities to learn.
  • Culture: join the best team you could ever imagine.
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Senior Data Strategy Consultant • Dubai, United Arab Emirates

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Chief Data Strategy Officer

Abu Dhabi, Abu Dhabi beBeeAnalyst

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Job Description

Job Description:

The Head of Analytics and Operations is responsible for leading data analytics, marketing technology, and operational efficiency initiatives.

Key Responsibilities: Marketing Technology (SFDC):
  • Implement and manage Salesforce Marketing Cloud to ensure optimal performance, data integrity, and user adoption.
  • Develop automated marketing processes and drive marketing automation strategies, integrating with other platforms to streamline operations.
Analytics & Reporting:
  • Lead web, social media, and campaign analytics, creating regular dashboards and reports for leadership insights into campaign performance and market trends.
  • Define and enhance Key Performance Indicators (KPIs) to assess marketing initiative success.
Market Research:
  • Conduct thorough market research to stay informed on industry trends, competitor strategies, and audience insights.
  • Provide actionable recommendations based on research findings to inform marketing strategies.
Marketing Operations:
  • Develop and refine marketing operations processes to improve efficiency, scalability, and collaboration across teams.
  • Oversee lead management processes and ensure the health of the marketing database.
Stakeholder Engagement:
  • Collaborate with internal teams to ensure data and technology support marketing initiatives and conversion funnel opportunities.
  • Manage external vendors related to marketing technology, analytics platforms, and research services.
  • Ensure data compliance and adherence to best practices across all marketing technology platforms.

A Bachelor's degree in Graphic Design, Fine Arts, Film Production, Communications, or a related field is required. A postgraduate qualification is preferred. At least 10+ years of experience in marketing operations and analytics are essential.

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Head of Data Strategy

Dubai, Dubai Robinson & Co (Singapore) Pte Ltd

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Head of Data Strategy & Analytics | Retail | Corporate | UAE

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.

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.

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This advertiser has chosen not to accept applicants from your region.

Data Strategy Consultant Lead - UAE

Dubai, Dubai BBI

Posted today

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Job Description

Job Overview:

We are seeking a highly experienced and motivated Senior Consultant/Lead to join our Data Strategy and Consulting team. The ideal candidate will have a strong background in data strategy data governance and analytics with the ability to drive datadriven decisionmaking processes within organizations. This role involves leading complex projects working closely with clients to develop and implement data strategies and ensuring data governance frameworks are effectively established and maintained.

Key Responsibilities:

  • Data Strategy Development:
  • Lead the design and implementation of comprehensive data strategies that align with clients business objectives.
  • Conduct assessments of current data capabilities and provide actionable insights to enhance datadriven decisionmaking.
  • Develop roadmaps for data management analytics and governance initiatives.
  • Data Governance:
  • Establish and implement data governance frameworks to ensure data quality integrity and security.
  • Define and enforce data standards policies and procedures across the organization.
  • Collaborate with crossfunctional teams to ensure compliance with data regulations and industry standards.
  • Client Consulting:
  • Work closely with clients to understand their data challenges and provide tailored consulting solutions.
  • Conduct workshops training sessions and presentations to educate clients on data governance best practices.
  • Lead client engagements manage stakeholder expectations and deliver highquality consulting services.
  • Project Management:
  • Manage multiple projects simultaneously ensuring they are delivered on time within scope and within budget.
  • Lead and coordinate with internal teams to ensure project deliverables.
  • Monitor project progress identify risks and implement mitigation strategies as needed.
  • Thought Leadership:
  • Stay abreast of industry trends emerging technologies upcoming regional and global data regulations and best practices in data management and governance.
  • Lead and mentor team of consultants and analysts and effectively enable them to grow.

Qualifications:

  • Education:
  • Bachelors degree in computer science information systems or any data related field.
  • Experience:
  • Minimum of 7 years of experience in data management data governance or related roles.
  • Proven track record of successfully leading data strategy and governance projects for large organizations.
  • Comprehensive knowledge of DAMA or NDMO.
  • Experience in consulting and client management is highly desirable.
  • Skills:
  • Strong understanding of data governance principles frameworks and tools.
  • Proficiency in data management and analytics platforms (e.g. SQL Python Tableau Power BI).
  • Excellent bilingual verbal/written communication skills (Arabic and English).
  • Exceptional presentation skills with the ability to convey complex concepts to nontechnical stakeholders.

Preferred Qualifications:

  • Certifications in data governance (e.g. DAMA CIMP).
  • Experience with cloud platforms (e.g. AWS Azure Google Cloud) and big data technologies.
  • Familiarity with regulatory requirements (e.g. GDPR CCPA KSA Personal Data Protection Law) and their impact on data governance.

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This advertiser has chosen not to accept applicants from your region.

Head of Data Strategy & Analytics | Retail | Corporate | UAE

Dubai, Dubai Robinson & Co (Singapore) Pte Ltd

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Head of Data Strategy & Analytics | Retail | Corporate | UAE

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

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.

#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

Chief Data Strategy & AI Transformation Officer| Retail | Corporate | UAE

Dubai, Dubai Robinson & Co (Singapore) Pte Ltd

Posted today

Job Viewed

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Job Description

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Select how often (in days) to receive an alert:

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

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.

#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
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About the latest Data strategy Jobs in United Arab Emirates !

Data Governance & Strategy Manager

Dubai, Dubai Qataryello

Posted today

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Job Description

A major player in the UAE is looking to set up a brand-new Data Governance function.

Responsibilities:
  1. Develop and execute a comprehensive strategy for establishing a data governance function within the organisation.
  2. Define the data governance vision, mission, and core principles, aligning them with business goals and regulatory requirements.
  3. Implement a data governance framework that facilitates self-service data access while ensuring data integrity and responsible use.
  4. Develop and execute a robust communication strategy to educate stakeholders across the organisation on data governance principles and best practices.
  5. Foster a collaborative data-centric culture where business units understand the value of data governance and actively participate in data stewardship.
  6. Work with business leaders to identify and prioritise data initiatives that align with strategic objectives.
Qualifications:
  • Bachelor's degree in business administration, Information Technology, or a related field with minimum 8 years of experience in data governance and strategy.
  • Proven track record of successfully establishing and leading data governance programs in large-scale organisations.
  • Excellent communication, collaboration, and stakeholder management skills.
  • The ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
  • A strategic mindset with a focus on business outcomes and data-driven decision making.
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Data Governance & Strategy Manager

Dubai, Dubai Omanyp

Posted today

Job Viewed

Tap Again To Close

Job Description

A major player in the UAE is looking to set up a brand-new Data Governance function.

Responsibilities:
  • Develop and execute a comprehensive strategy for establishing a data governance function within the organisation.
  • Define the data governance vision, mission, and core principles, aligning them with business goals and regulatory requirements.
  • Implement a data governance framework that facilitates self-service data access while ensuring data integrity and responsible use.
  • Develop and execute a robust communication strategy to educate stakeholders across the organisation on data governance principles and best practices.
  • Foster a collaborative data-centric culture where business units understand the value of data governance and actively participate in data stewardship.
  • Work with business leaders to identify and prioritise data initiatives that align with strategic objectives.
Qualifications:
  • Bachelor's degree in business administration, Information Technology, or a related field with minimum 8 years of experience in data governance and strategy.
  • Proven track record of successfully establishing and leading data governance programs in large-scale organisations.
  • Excellent communication, collaboration, and stakeholder management skills.
  • The ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
  • A strategic mindset with a focus on business outcomes and data-driven decision making.
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This advertiser has chosen not to accept applicants from your region.

Data & Analytics Strategy Manager, Data Science and Business Intelligence

Dubai, Dubai Dentsu

Posted 3 days ago

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Job Description

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

  • Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
  • Analyze and correlate data from various sources (research, sales, media metrics, etc.).
  • Produce insights and develop viewpoints based on data outputs.
  • Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
  • Report to the Performance Director to drive performance and business intelligence for clients.
  • Develop and execute the overall data and analytics strategy aligned with company goals.
  • Establish and enforce data governance policies ensuring data quality, consistency, and security.
  • Lead a team of data analysts and data scientists to deliver actionable insights.
  • Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
  • Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
  • Evaluate and adopt the latest data technologies and tools.
  • Coordinate dashboard and report development with the data science team and other leaders.
  • Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

  • AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
  • Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
  • Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

  • Team Leadership: Manage data scientists, data engineers, and BI analysts.
  • Stakeholder Management: Engage with CXOs and business leaders.
  • Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

  • Languages: Python, R, SQL, PySpark, Scala.
  • ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
  • Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

  • Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

  • Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

  • Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

  • Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager

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