VP of Data Engineering & Analytics

We're hiring a VP of Data Engineering & Analytics to rebuild and scale a data function from the ground up within a high-growth consumer business in Dubai.

This isn't a traditional reporting or BI leadership role. Data is the core product. The business has a unique, highly valuable dataset in its industry and is looking for a leader to build a world-class data platform, actionable intelligence, and commercial growth. You'll inherit an existing team and be responsible for scaling it, maturing the platform, improving data quality and governance, and helping the business unlock new revenue opportunities through data-driven decision making

We're looking for someone who combines deep technical credibility with commercial thinking. Someone who can still roll up their sleeves when needed, has built data teams from the ground up, and understands how to move from startup chaos to scalable execution.

What you'll be responsible for:

• Defining and executing the company's data strategy
• Building an AI-ready, modern data platform and semantic layer
• Establishing data quality, governance, observability, and trusted metrics
• Leading data ingestion, warehousing, and multi-tenant architecture initiatives
• Driving BI, analytics, forecasting, and client-facing data products
• Partnering with senior leadership to identify growth opportunities and commercial insights
• Scaling and mentoring a high-performing data team while leveraging AI to increase productivity and impact

We're looking for someone who has:

• 15+ years of experience in modern data platforms, architecture, SQL, and data modelling
• Hands-on experience with modern cloud data stacks
• Experience building and scaling data teams in startup environments
• Data modelling, warehousing and analytics expertise
• Ability to translate data into business outcomes and growth opportunities
• Strong stakeholder management and executive presence
• Experience building, scaling, and leading high-performing data teams
• A passion for AI-enabled data platforms and next-generation analytics capabilities

Nice to have:

• Predictive analytics, forecasting, churn, and LTV modelling expertise
• Background in SaaS, analytics products, or multi-tenant technology environments