Head of Data Products & Engineering

Client of Michael Page; Dubai; On-site; AED 420,000 - 700,000; Full time

Job summary

Client of Michael Page is seeking a hands-on leader with deep expertise in data analytics, automation and AI to deliver prototypes and production-ready solutions within a financial services setting. You will define and execute the enterprise roadmap, build data warehouses, and establish scalable AI workflows.

You will partner with senior stakeholders across investments, finance and technology to modernise processes, and you will demonstrate a track record of delivering enterprise data platforms

Qualifications

• 15 years experience across data analytics, automation or AI ideally in financial services
• Strong understanding of investment and financial data reporting and systems
• Proven track record building enterprise data platforms and full-stack applications
• Hands-on technical expertise across modern data, BI, automation and AI tools
• Degree in Computer Science, Data Science, Engineering, Finance or a related discipline

Responsibilities

• Deliver prototypes automations and production-ready solutions
• Define and execute the enterprise roadmap for data analytics automation and AI
• Build and enhance the enterprise data warehouse and trusted reporting layers
• Establish and scale an AI Factory including agentic workflows and internal copilots
• Partner with senior stakeholders across investments, finance and technology to modernise ways of working

Skills

Data analytics

Automation

AI

Stakeholder engagement

Education

Bachelor's degree in Computer Science / Data Science / Engineering / Finance

Tools

BI tools

Automation tools

AI tooling

Job description

Job Description

Act as a hands on builder delivering prototypes automations and production ready solutions

Define and execute the enterprise roadmap for data analytics automation and AI

Build and enhance the enterprise data warehouse and trusted reporting layers

Establish and scale an AI Factory including agentic workflows and internal copilots

Partner with senior stakeholders across investments finance and technology to modernise ways of working

The Successful Applicant

15 years experience across data analytics automation or AI ideally in financial services

Strong understanding of investment and financial data reporting and systems

Proven track record building enterprise data platforms and full stack applications

Hands on technical expertise across modern data BI automation and AI tools

Degree in Computer Science Data Science Engineering Finance or a related discipline