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Data & Analytics Lead | Finance | Financial Services

Job in Dubai, Dubai, UAE/Dubai
Listing for: Al-Futtaim
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Data & Analytics Lead | Al-Futtaim Finance | Financial Services

Job Requisition  : 174409

Overview of the role

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 the 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

What you will do
  • 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 like credit risk, pricing, fraud detection, and collections optimization
  • Data governance & compliance : implement policies, metadata management, lineage, and quality frameworks aligned with Group data leads.
  • Analytics & BI delivery : drive data analytics platform adoption, 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).
Required Skills to be successful
  • The position works closely with other group counterparts,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
About the Team

This role reports to Head of Digitalisation

What equips you for the role
  • 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.
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