Data Lead

Role description

Location: Amsterdam, Netherlands (Hybrid)

Reports to: CTO

As Data Lead you'll own the data function end-to-end: the operating model, platform investment, team and outcomes. You'll lead an engineering team (~5 FTE), working closely with Product, RevOps, Finance and GTM to make data central to how the business operates day-to-day. The ambition is to tie operational data to engagement results so that customers can prove the impact of their core product on business performance.

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• Own the design and implementation of the internal data stack — warehouse, pipelines, orchestration, and BI layer
  
• Define target architecture compatible with the existing external product data stack owned by the reporting team
  
• Safeguard data quality, reliability, and documentation across all critical datasets
  
• Create and maintain shared metric definitions and data standards across the business
  

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• Define and own the company's data strategy and 12-month roadmap, aligned to company OKRs
  
• Partner with leadership — including RevOps, CISO, CTO, Finance, and Product — to align data capabilities with business priorities
  
• Establish clear working agreements with RevOps on metric ownership and shared data models, ensuring a single source of truth for critical company metrics
  
• Work alongside the CISO on data governance and access controls — security policy remains with the CISO; implementation sits with the Data Lead
  

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• Deliver self-serve BI capabilities for Product, Customer Success, Finance, and the executive team
  
• Own product and customer engagement metrics; collaborate with RevOps on a shared revenue metrics layer
  
• Ensure data is structured, documented, and governed in ways that enable advanced analytics, automation, and AI use cases
  
• Set the standard for how the team uses LLMs, agents and automation in daily work, leading by example through hands-on workflow development
  
• Lead, coach and develop a team of ~5 data engineers and analysts
  
• Foster a data-driven culture across the organisation through standards, tooling, and stakeholder engagement
  

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• 7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity
  
• Proven track record xgiwjmb of building or rebuilding a core data stack — warehouse, pipelines, orchestration, BI layer, semantic models, and shared metric definitions — in a way the business actually adopts
  
• Strong SQL skills and hands-on experience with modern data stacks: Snowflake or Databricks, dbt, Azure Data Factory, Fivetran, Power BI or Looker
  
• Experience operating in ambiguous, fast-growing environments where ownership is unclear and priorities shift
  
• Demonstrated ability to work as a peer alongside RevOps, Security, and Engineering — influencing without formal authority
  
• Pragmatic, analytical, and results-oriented — able to turn complex data challenges into clear priorities and tangible outcomes
  
• Understanding of data privacy, security, and governance in enterprise environments