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Head of Data

Skills

About the Role

You will lead and scale the end-to-end data function, defining and executing the data strategy across analytics, data modelling, metrics, experimentation, and infrastructure. You will build and develop a high-performing data organisation of around 25 people, own the KPI and metrics framework, translate business questions into analytical solutions, communicate insights to technical and non-technical audiences, and improve data literacy across the organisation.

Requirements

  • 10+ years of experience in data-related roles with 3+ years in senior leadership or management
  • Proven experience leading and scaling data teams in startup or high-growth environments
  • Deep understanding of modern data ecosystems including analytics and BI, data modelling, metrics design, and data infrastructure and pipelines
  • Strong intuition for data quality, metrics, and decision support
  • Ability to engage deeply in technical discussions without being hands-on day-to-day
  • Strong business mindset with experience translating business goals into measurable outcomes and KPIs
  • Experience in FinTech, B2C, exchanges, or financial services
  • Ability to work autonomously and proactively drive strategy and execution
  • Strong problem-solving and analytical skills with a bias toward impact

Responsibilities

  • Define and execute data strategy covering analytics, data modelling, metrics, experimentation, and infrastructure
  • Establish data principles, standards, and best practices to ensure high data quality and reliability
  • Drive the evolution of the data platform to support scale and performance
  • Lead, grow, and develop a data organisation of approximately 25 people
  • Build managers and senior individual contributors and foster ownership and accountability
  • Recruit, hire, and onboard top talent
  • Own the metrics and KPI framework and ensure consistent definitions and governance
  • Translate business questions into robust analytical solutions with cross-functional partners
  • Enable data-informed decision-making across all organisational levels
  • Act as a trusted advisor to senior leaders and clearly communicate insights and trade-offs
  • Improve data literacy and establish a shared data vocabulary