Please Note: B Lab is not working with a third party to fill this role an no part of our process requires applicants to pay fees. Applicants should only use our job board to submit an application, and will interact directly with our team during this process.
This is a Full-Time Role (40 hours per week, 5 days per week) with no option for part-time work. While this is a remote-first opportunity, the candidate filling this role must be a resident of the Netherlands, the U.K. or Brazil at the start of employment. Additionally, they must be within commuting distance of our office in Amsterdam, London, or SãoPaulo.
About the Role
The Data & AI team is responsible for building B Lab's data platform, delivering on business priorities, and scaling AI adoption across the organization. The team reports directly to the CTDO. The Data & ML Platforms team owns the data platform, ML infrastructure, and the foundational data models the rest of the Data & AI team depends on - the supply‑side capability layer that Business & Data Priorities and AI Enablement build on.
As the Data Governance Lead on the Data & ML Platforms pillar, you own data standards, definitions, and sensitivity classification across B Lab's data platform, and ensure the platform and its analytics comply with relevant laws and documentation requirements. Beyond governance, you play a growing role in building data literacy across the organization - helping teams understand and trust the data available to them, and ensuring definitions and standards are actually adopted, not just documented. You work closely with the Senior Analytics Engineer and Data Engineer to make sure new models and pipelines are built to standard from the start.
Core Responsibilities
Data Standards & Governance (35%)
- Own Data Standards & Definitions: Establish and maintain the organization's data standards, definitions, and sensitivity classifications.
- Ensure Compliance: Keep the data platform and analytics practices compliant with relevant laws and internal policy.
Data Literacy & Adoption (30%)
- Drive Standards Adoption: Work across pillars to ensure data standards are actually used, not just documented.
- Build Data Literacy: Develop training, documentation, and other enablement so teams across B Lab can confidently interpret and trust the data available to them.
Cross-Pillar Partnership (25%)
- Partner with Platform Peers
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