Director of Data & Analytics [Databricks]
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Key skills for this role
About the Role
Talent Seed is hiring a Director of Data & Analytics to rebuild and scale a data function from the ground up for a high-growth consumer business in Dubai. You will architect production-grade data platforms, deploy an embedded analytics model, and drive commercial impact.
Key Skills for This Role
Responsibilities
- Architect production grade pipelines, data models, and infrastructure
- Establish governance, quality, and tooling standards
- Move from manual reporting to scalable, reliable platform
- Design and implement a distributed analytics function
- Partner with Product, Commercial, Growth, Finance & Customer Care to define needs
- Train centrally then deploy into business units
- Maintain shared standards, tooling, and a strong community of practice
- Act as a true business partner, not a support function
- Work closely with Product, Growth & Commercial leadership
- Ensure data drives decisions, not just dashboards
Requirements
- 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
- Strong experience implementing decentralised analytics models
- Deep technical capability across modern data ecosystems, comfortable owning architecture decisions
- Practical experience with 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
Full Job Posting
Role Overview
- 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
- 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
- Build an Embedded Analytics Model: 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
- 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
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