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

Al-Futtaim; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading financial services firm in Dubai seeks a Data & Analytics Lead to execute its data and AI enablement strategy. The ideal candidate will leverage 10+ years of experience in Data & Analytics, focusing on AI innovation, data governance, and analytics delivery. Responsibilities include leading the data strategy, building AI capabilities for financial applications, and ensuring compliance. Strong knowledge of Azure Data Factory, Power BI, and SQL is essential. This leadership role offers the opportunity to shape the future of the firm's data ecosystem.

Qualifications

• Deep understanding of financial product data models including Portfolio and Profitability.
• Experience enforcing data governance towards a certified data concept.
• Track record of managing data engineering and BI delivery teams.

Responsibilities

• Lead the Data & AI Enablement agenda aligned with the Group's digital transformation plan.
• Develop internal data science and ML capabilities for various financial use cases.
• Implement data governance policies and quality frameworks.
• Drive analytics platform adoption and ensure dashboard delivery for profitability.

Skills

Data governance

AI / ML delivery

Data analytics

Cross-functional collaboration

Requirements elicitation

Education

10+ years in Data & Analytics roles

Leadership experience

Tools

Azure Data Factory

Power BI

SQL

Python

Job description

Job Requisition ID : 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

• 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

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.