Data & Analytics Lead | Finance | Financial Services

Data & Analytics Lead | Al-Futtaim Finance | Financial Services

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The Data & Analytics Lead is responsible for developing and executing the data and AI enablement strategy for Al-Futtaim Financial Services (AFF), Hertz and international businesses, ensuring that all initiatives align with the overall digital transformation roadmap. The role will lead the design and delivery of a fully AI-enabled data and analytics platform, oversee analytics delivery and build internal AI capability to support automation, decision intelligence and customer insights.

This is a hands‑on leadership role bridging business, technology and AI innovation focused on creating a unified, governed and scalable data ecosystem that enables product-level profitability, portfolio insights and operational excellence.

• Lead the Data & AI Enablement agenda: define and execute AFF’s data strategy aligned with the Group CDO and Digital Transformation plan.
• Build AI capability: develop internal data science and ML delivery capabilities for use cases such as credit risk, pricing, fraud detection and collections optimisation.
• Data governance & compliance: implement policies, metadata management, lineage and quality frameworks aligned with Group data leads.
• Analytics & BI delivery: drive adoption of the data analytics platform, ensuring executive dashboards (profitability, equity, RoE) and self‑service analytics for business teams.
• Collaborate with Group & Divisional teams: ensure synergy with AFS&TD, GTDP, EIB and initiatives to avoid duplication and ensure reuse.
• Vendor and partner management: manage data engineering vendors, AI partners and Group shared services (infrastructure, security).

• The position works closely with other group counterparts and business product owners to establish a future‑ready data operating model that integrates governed data, analytics and AI delivery.
• Deep understanding of financial product data models including Portfolio, Profitability and RoE.
• Experience establishing and enforcing data governance towards a certified data concept, lineage and quality frameworks.

• This role reports to Head of Digitalisation.

• 10+ years in Data & Analytics roles with at least 5 years in leadership capacity.
• Hands‑on experience designing and delivering fully AI-enabled data platforms.
• Proven experience in AI/ML delivery such as credit risk, pricing or customer analytics including building digital twins.
• Track record of managing data engineering and BI delivery teams (internal and vendor).
• Experience working with cross‑functional teams across IT, risk, finance and product.
• Strong technical knowledge of Azure Data Factory, Power BI, SQL and Fabric Lakehouse.
• Familiarity with Python, ML frameworks such as Scikit-learn and Azure ML and model deployment.
• Skilled in requirements elicitation, process mapping, journey design and hypothesis validation.