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Head of Data

NEW
Amsterdam, The NetherlandsFull-timeGlobal
šŸ“Š ExecutivešŸ  On-site
ActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

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

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

Responsibilities

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

Tech Stack

stakeholder managementKPIdata qualitydata strategyanalytics engineeringdata modellingData-pipelinesdata infrastructuredata engineeringproject:Bitvavo B.V.
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