Head of Data & AI

QatarYello; Dubai; On-site; AED 600,000 - 1,200,000; Full time

Job summary

QatarYello in the Financial Services sector seeks a hands-on data/AI leader to deliver prototypes, automations and production-ready solutions. You will define and execute the enterprise roadmap for data, analytics, automation and AI, build and enhance the data warehouse and trusted reporting layers, and establish an AI Factory with agentic workflows and internal copilots.

Collaborating with senior stakeholders across investments, finance and technology, you will modernise ways of working and

Qualifications

• 15+ years of 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.

Responsibilities

• 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.

Skills

Data analytics

Automation

AI tools

Enterprise data platforms

Education

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

Tools

Modern data tools

Job description

The organisation is a well‑established and influential player in the Financial Services industry.

• 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

• 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