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

Robinson & Co (Singapore) Pte Ltd; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading financial services firm in the UAE seeks a Data & Analytics Lead to create and execute a comprehensive data strategy driving digital transformation. You will lead the design of an AI-enabled data platform, enhance governance frameworks, and oversee analytics delivery to drive strategic insights. The role requires over 10 years of experience in Data & Analytics, with a strong technical background in Azure, Power BI, and SQL. This role offers a leadership position playing a crucial part in supporting business intelligence and data innovation.

Qualifications

• 10+ years in Data & Analytics roles with at least 5 years in leadership.
• Experience in AI/ML delivery including credit risk and customer analytics.
• Proven track record managing data engineering and BI delivery teams.

Responsibilities

• Define and execute data strategy aligned with the Digital Transformation plan.
• Develop internal data science and ML delivery capabilities.
• Implement data governance policies and quality frameworks.
• Drive analytics platform adoption and executive dashboard delivery.
• Manage data engineering vendors and AI partners.

Skills

Data strategy development

AI capability development

Data governance

Technical knowledge of Azure Data Factory

Strong SQL skills

Experience with Power BI

Tools

Azure Data Factory

Power BI

SQL

Fabric Lakehouse

Python

Job description

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

Al-Futtaim Group is a diversified business headquartered in Dubai, UAE.

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 such as 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.