Data and Analytics Lead - AI Platform

AlFuttaim

Dubai

On-site

AED 400,000 - 640,000

Full time

14 days+

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Job summary

AlFuttaim seeks a veteran Data and Analytics Lead for the AI Platform in Dubai. The role drives the data and AI enablement agenda across financial services, mobility, and international businesses, shaping an AI‑enabled analytics ecosystem with governance, quality controls, and scalable insight generation.

The candidate will build and lead data engineering, BI, analytics, and AI delivery teams, partner with Group data leads, and ensure delivery quality, cost efficiency, and measurable business

Qualifications

Minimum 10 years in data/analytics with leadership exposure.
Experience designing AI‑enabled data platforms in complex environments.
Strong stakeholder management across finance, technology, risk and operations.

Responsibilities

Define and execute data and AI enablement strategy aligned with Group Chief Data Office.
Design and deliver AI‑enabled data platform for scalable analytics and self‑service reporting.
Establish data pipelines, governance, metadata, and lineage frameworks across businesses.
Lead data engineering, BI, analytics, and AI delivery teams with external partners.
Drive adoption of BI/analytics platforms via executive and portfolio dashboards.

Skills

Data strategy

AI enablement

Data analytics leadership

Executive dashboards

Self-service analytics

BI platform adoption

Portfolio analytics

Profitability analytics

Return on equity analytics

Credit risk analytics

Pricing analytics

Fraud detection

Collections optimization

Customer analytics

Digital twins

Vendor management

SLA management

Data platform delivery

Digital transformation

Decision intelligence

Tools

Azure Data Factory

Power BI

SQL

Fabric Lakehouse

Python

Scikit‑learn

Azure ML

Job description

Data and Analytics Lead – AI Platform

Based in Dubai, United Arab Emirates, this full‑time role leads the data and AI enablement agenda for Al‑Futtaim Financial Services, Hertz, and related international businesses. The Senior Data Leader will define, build, and scale an AI‑enabled analytics ecosystem across financial services, mobility, and international operations.

Key Responsibilities

Define and execute the data and AI enablement strategy in line with the Group Chief Data Office direction and digital transformation roadmap.
Design and deliver an AI‑enabled data platform that supports scalable analytics, self‑service reporting, and advanced decision intelligence.
Establish reliable data pipelines, governed data models, quality controls, metadata practices, and lineage frameworks across assigned businesses.
Build internal data science and machine learning delivery capability for credit risk, pricing, fraud detection, collections optimization, customer insights, and automation use cases.
Lead the delivery of analytics solutions that improve portfolio profitability, return on equity visibility, business performance tracking, and operational efficiency.
Implement data governance policies and certified data concepts in partnership with Group data leads and divisional stakeholders.
Maintain high data governance standards with clear ownership, quality rules, issue resolution, audit readiness, and compliance discipline.
Drive adoption of BI and analytics platforms by delivering executive dashboards, portfolio dashboards, profitability views, and self‑service reporting tools.
Reduce manual reporting by standardizing automated dashboards, reusable data assets, and trusted business intelligence outputs.
Work closely with business, technology, finance, risk, operations, and digital teams to align analytics delivery with business needs.
Collaborate with Group and divisional teams to avoid duplicated data work and promote reuse of shared data assets.
Manage data engineering vendors, AI partners, infrastructure teams, security teams, and shared services to ensure delivery quality and SLA compliance.
Track vendor performance, platform cost efficiency, delivery timelines, data quality outcomes, and business adoption metrics.
Translate financial product data into practical insights covering portfolio performance, profitability, customer behavior, return on equity, and risk trends.
Provide leadership to data engineering, BI, analytics, and AI delivery teams across internal resources and external partners.
Support digital transformation initiatives by embedding automation, predictive analytics, machine learning, and data‑led operating practices.

Ideal Profile

Minimum 10 years of experience in data and analytics, including at least 5 years in a leadership role.
Hands‑on experience designing and delivering AI‑enabled data platforms in complex business environments.
Strong technical knowledge of Azure Data Factory, Power BI, SQL, and Fabric Lakehouse.
Familiarity with Python and machine learning frameworks such as Scikit‑learn and Azure ML for model development and deployment.
Proven experience delivering AI and ML use cases such as credit risk models, pricing analytics, fraud detection, collections optimization, customer analytics, and digital twins.
Strong understanding of financial product data models, including portfolio, profitability, equity, return on equity, and customer‑level performance views.
Experience establishing data governance frameworks, metadata management, lineage tracking, certified data concepts, and quality control practices.
Track record of managing data engineering, BI, analytics, and vendor delivery teams.
Ability to connect data strategy with business performance, digital transformation, automation, and measurable commercial outcomes.
Strong stakeholder management skills with the ability to work across finance, technology, risk, operations, business leadership, and Group shared services.
Solid analytical thinking, financial awareness, communication ability, and problem‑solving skills.
Comfortable leading delivery in a fast‑moving environment with multiple business units, platforms, priorities, and governance expectations.

Skills Set