Data and Analytics Lead - AI Platform
Posted date [2026-07-08]
(ID: 47636)
 |
Established in the 1930s as a trading business, Al-Futtaim is one of the most progressive regional family business houses headquartered in Dubai, United Arab Emirates. |
Job Description and Requirements
Data and Analytics Lead - AI PlatformJob Snapshot
Role: Data and Analytics Lead - AI Platform
Location: Dubai, United Arab Emirates
Industry: Financial Services
Function: Information Technology
Experience: Minimum 10 years in data and analytics with 5 years in leadership
Job Type: Full-time
Position Overview
Data and Analytics Lead - AI Platform in Dubai, United Arab Emirates is a Financial Services hiring opportunity for a senior data leader who can define, build, and scale an AI-enabled analytics ecosystem across financial services, mobility, and international business operations. The role focuses on data strategy, Azure-based data platform delivery, governance, BI adoption, AI and ML use cases, portfolio profitability, credit risk analytics, pricing intelligence, fraud detection, collections optimization, and decision intelligence.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Financial Services
Function: Information Technology
Salary: 45000-65000
Estimated salary range based on similar jobs in the job city;
please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
The Data and Analytics Lead - AI Platform will guide the data and AI enablement agenda for Al-Futtaim Financial Services, Hertz, and related international businesses. This position connects business priorities, digital transformation, data engineering, AI innovation, analytics governance, BI delivery, and operational performance into one scalable data ecosystem. The role has strong business impact by improving product-level profitability visibility, portfolio insight, automation capability, customer analytics, risk monitoring, and executive decision-making.
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
* Data strategy
* AI enablement
* Data analytics leadership
* Azure Data Factory
* Power BI
* SQL
* Fabric Lakehouse
* Python
* Scikit-learn
* Azure ML
* Machine learning deployment
* Data engineering
* Data governance
* Metadata management
* Data lineage
* Data quality frameworks
* Certified data concepts
* Executive dashboards
* Self-service analytics
* BI platform adoption
* Financial product data models
* 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
Why Join Us
This role offers the opportunity to lead a high-impact data and AI transformation agenda within a major Dubai-headquartered business with strong financial services, mobility, real estate, retail, and technology operations. The position provides exposure to advanced analytics, enterprise data governance, AI-enabled platforms, executive decision support, and measurable business performance improvement. It is a strong fit for a senior data leader who wants to build scalable data capability, reduce manual reporting, and turn trusted data into commercial value.
About the Company
Al-Futtaim is a diversified business headquartered in Dubai, United Arab Emirates, with operations across automotive, financial services, real estate, retail, healthcare, engineering, and technology services. The group supports regional growth through customer-focused businesses, digital transformation, advanced analytics, trusted partnerships, and modern operating models across the Middle East, Asia, and Africa.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
The Data and Analytics Lead - AI Platform will guide the data and AI enablement agenda for Al-Futtaim Financial Services, Hertz, and related international businesses. This position connects business priorities, digital transformation, data engineering, AI innovation, analytics governance, BI delivery, and operational performance into one scalable data ecosystem. The role has strong business impact by improving product-level profitability visibility, portfolio insight, automation capability, customer analytics, risk monitoring, and executive decision-making.
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
* Data strategy
* AI enablement
* Data analytics leadership
* Azure Data Factory
* Power BI
* SQL
* Fabric Lakehouse
* Python
* Scikit-learn
* Azure ML
* Machine learning deployment
* Data engineering
* Data governance
* Metadata management
* Data lineage
* Data quality frameworks
* Certified data concepts
* Executive dashboards
* Self-service analytics
* BI platform adoption
* Financial product data models
* 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
Why Join Us
This role offers the opportunity to lead a high-impact data and AI transformation agenda within a major Dubai-headquartered business with strong financial services, mobility, real estate, retail, and technology operations. The position provides exposure to advanced analytics, enterprise data governance, AI-enabled platforms, executive decision support, and measurable business performance improvement. It is a strong fit for a senior data leader who wants to build scalable data capability, reduce manual reporting, and turn trusted data into commercial value.
About the Company
Al-Futtaim is a diversified business headquartered in Dubai, United Arab Emirates, with operations across automotive, financial services, real estate, retail, healthcare, engineering, and technology services. The group supports regional growth through customer-focused businesses, digital transformation, advanced analytics, trusted partnerships, and modern operating models across the Middle East, Asia, and Africa.
