Delivery à Canada

Job Requisition ID : 174409

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

• 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).

• Theposition 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

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.