Director of Data & Analytics [Relocate to Dubai]

Company: Talent Seed
Apply for the Director of Data & Analytics [Relocate to Dubai]
Location: London
Job Description:

**This role requires relocation to Dubai**

We’re hiring a Director of Data & Analytics to rebuild and scale a data function from the ground up within a high-growth consumer business in Dubai. You’ll transform a manual, under-leveraged setup into a production-grade platform, while embedding analytics directly into Product, Growth, and Commercial teams.

This is a hands-on builder role, owning architecture, deploying an embedded analytics model, and ensuring data drives real business decisions.

Responsibilities:

1) Build the Data Foundation

  • Architect production-grade pipelines, data models, and infrastructure
  • Establish governance, quality, and tooling standards
  • Move from manual reporting → scalable, reliable platform
  • Build with future AI / ML use cases in mind

2) Build an Embedded Analytics Model (Core to the Role)

  • Design and implement a distributed analytics function
  • Partner with Product, Commercial, Growth, Finance & Customer Care to define needs
  • Train centrally → deploy into business units
  • Maintain shared standards, tooling, and a strong community of practice

3) Drive Commercial Impact

  • Act as a true business partner, not a support function
  • Work closely with Product, Growth & Commercial leadership
  • Ensure data drives decisions, not just dashboards

What we are looking for:

  • 12+ years’ experience across data, analytics, or data engineering, including 3+ years leading a data function
  • Demonstrated ability to build data platforms from the ground up in high-growth, fast-moving environments, not just oversee, but actively deliver
  • Strong experience implementing decentralised analytics models, enabling business units while maintaining consistency in data standards and infrastructure
  • Deep technical capability across modern data ecosystems, comfortable owning architecture decisions, reviewing engineering work, and shaping data models
  • Practical experience with leading tools and platforms such as Databricks, dbt, workflow orchestration tools, and cloud-based data warehouses (ideally AWS)
  • Hands-on experience developing and managing experimentation frameworks, including A/B testing and performance measurement
  • Prior exposure to consumer-facing, marketplace, or subscription-driven businesses, with a solid understanding of user behaviour, conversion funnels, cohort trends, and revenue drivers

Posted: April 18th, 2026