Head of Data

Head of Data

Company

Bitvavo B.V.

Conditions

2 days agoHead Amsterdam, The Netherlands Onsite Full Time Data Science Jobs by Bitvavo B.V.

Skills

Data Quality Leadership Experimentation Data Infrastructure Data Science Data Engineering Kpi Stakeholder Management Data Modelling Analytics Metrics Data Analysis Hiring Data-Pipelines Data Strategy Analytics Engineering

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

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