Data & Analytics Integration Manager - Automotive

Job Requisition ID: 174472

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:

• This role acts as a strategic intermediary between Automotive GTDP and the Analytics & Data Office (ADO), ensuring coordinated and aligned efforts in data and AI initiatives to yield measurable business value. The individual in this position supports the execution of the Automotive data strategy by harmonizing the GTDP data-engineering roadmap with the ADO analytics and reporting plans. Responsibilities include leading subject-matter engagement with stakeholders to define and validate data requirements, ensuring their business relevance and technical feasibility. The role demands visibility and predictability in GTDP's capacity and resource requirements to proactively plan data ingestion and transformational activities. Additionally, it involves ensuring awareness of ongoing data initiatives across teams to prevent duplication and promote solution reuse, while driving continuous improvements in the Intelligent Data Platform (IDP) concerning cost, performance, and scalability.

What You Will Do:

• Act as the bridge between Automotive GTDP and the Analytics & Data Office (ADO), ensuring coordination and alignment of all Automotive data and AI initiatives to deliver measurable business value.
• Support the delivery of the Automotive data strategy by aligning the GTDP data-engineering roadmap with the ADO analytics and reporting roadmap, ensuring prioritization and end-to-end traceability of business requirements.
• Serve as a subject-matter lead to engage with business stakeholders and ADO product owners to define, validate, and refine data and analytics requirements, ensuring business relevance and technical feasibility.
• Provide visibility and predictability of GTDP capacity and resourcing required to support ADO’s future pipeline, enabling proactive data ingestion and transformation planning.
• Ensure mutual awareness between GTDP and ADO to inform both parties about ongoing and upcoming data initiatives, preventing duplication and maximizing reuse of existing solutions.
• Lead continuous improvement of the Intelligent Data Platform (IDP), focusing on cost optimization, performance, and scalability in collaboration with ADO, architecture, and infrastructure teams.
• Translate analytical objectives into clear, actionable data requirements and data models, ensuring 100% of analytics requirements are documented and approved.
• Maintain a consolidated view of Automotive data and AI initiatives, ensuring alignment between ADO’s analytics roadmap and GTDP’s data-engineering plans.
• Facilitate structured collaboration between ADO, GTDP, and business stakeholders, ensuring transparent communication on priorities, dependencies, and delivery progress.
• Drive continuous improvement and optimizations within the Intelligent Data Platform, focusing on performance, scalability, and cost efficiency.

Required Skills To Be Successful:

• Strong stakeholder management and engagement skills to align cross-functional teams with business objectives.
• Strategic planning and capacity forecasting skills to anticipate resource needs based on data project pipelines.
• Expertise in data engineering concepts, including data modelling and cloud-based platforms.
• Experience in managing and optimizing data platforms for cost, performance, and scalability.

What Qualifies You For The Role:

• Degree in Computer Science, Information Systems, Data Analytics, or a related discipline.
• 6-10 years of experience in data analytics, business intelligence, or data-platform delivery within a complex enterprise or multi-brand environment.
• Proven ability to translate business needs into technical data requirements and manage delivery through cross-functional teams.
• Hands-on understanding of data engineering concepts, data modelling, and cloud-based data platforms, preferably Azure.

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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.

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