Data Governance Lead (Amsterdam, NLD)

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.

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: Work with the Senior Analytics Engineer and Data Engineer to ensure new models and pipelines are built to standard.
• Support Pillar 2 & 3: Help Network Priorities, Regional Enablement, and AI Enablement apply data standards consistently in their work.

Strategic Innovation & Business Impact (10%):

• Evaluate Governance Tooling: Explore and pilot new tools or approaches for data cataloging, lineage, and standards enforcement.
• Quantify Literacy Impact: Track and articulate how improved data literacy and standards adoption reduce rework and improve decision quality across teams.

Major Objectives/Project for the role in the first 6-12 months

• Create concepts for data classification (public, private, sensitive, etc)
• Apply concepts to our data
• Enable network to understand concepts and how to interact with them
• Enable the Data Platform to be more aligned with regulatory requirements and laws

About You

• Overall 3+ years of experience in data modeling and/or data governance roles
• SQL/Data Fluency : Working knowledge of SQL and data models sufficient to audit and advise on governance implementation.
• Data Governance: Experience establishing and maintaining data standards, definitions, and sensitivity/classification frameworks .
• Data Literacy & Enablement: Experience communicating technical data concepts to non-technical stakeholders and driving adoption of standards across teams.
• Compliance Knowledge: Familiarity with data-related legal and regulatory requirements relevant to the organization's data platform and analytics.
• Documentation: Strong written communication skills; comfort building and maintaining clear, discoverable documentation.
• Cross-Team Collaboration: Ability to influence without direct authority across the Data & AI department.
• Excellent communication skills and comfort with facilitating live and asynchronous trainings or workshops on data governance
• A BA/BS in Computer Science, Information Technology, or a related field preferred
• Fluent in English

Compensation Details

B Lab has a compensation plan that includes:

• An annual salary in the range of €51,000.00 - €61,000.00 (inclusive of holiday allowance) based on experience and skills
• 20 vacation days per year, prorated to your start date - front-loaded and restarting each January 1; increased to 25 days after third anniversary
• After your first year of employment, 40 hours paid time off for community service; 40 hours of paid time off for professional development with access to a professional development budget (we assess this PD budget annually)
• Flexibility to use 3 floating holidays and 2 personal days
• Additional time off during org- wide closures when the entire organization is closed (not including holidays)
• B Lab pension scheme
• One-time stipend to make your home-based workspace more comfortable
• A remote-first workplace
• A flexible work environment with the ability to plan your work week around your personal commitments

This is a Full-Time Role (40 hours per week, 5DWW) with no option for part-time work.

This job ad is for Amsterdam, NLD. While this is a remote-first opportunity, the candidate filling this role must hold work authorization to work in the Netherlands without any time limitations or any other restrictions, and they must be a resident of the Netherlands at the start of employment. Additionally, they must be within commuting distance of our office in Amsterdam. This role is not eligible to be remote from other countries in Europe. If you wish to be based in one of our other locations listed for this role, please visit our Careers page and submit your application through the job ad that best fits with where you hold residency and work authorization.

Hiring Process

We require all of the following in order to consider your application:

• Resume - Please submit an English translation of your resume
• Complete responses to our standard set of application questions - Please respond to our questions in English

Please do not include a cover letter. Please note that incomplete applications will not be considered. 

If you progress through additional stages in the hiring process you can expect to:

• Step 1: Submit your resume and responses to our application questions in full
• Step 2: Participate in an interview with a panel via Google Meet or Zoom (all candidates must have their cameras on)
• Step 3: Participate in an interview with a panel via Google Meet or Zoom (all candidates must have their cameras on)
• Step 4: Complete an exercise and participate in a final interview with a panel via Google Meet or Zoom (all candidates must have their cameras on)

Please note that your first day of work must be in-person at one of our office locations to complete onboarding documents and meet with some members of our team. 

We will begin reviewing applications on September 7th, 2026  and will continue until we identify a diverse and qualified candidate pool.

Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed, which we expect to complete by mid March. This job ad will close automatically at 9:00AM EST on September 25th . It may be closed sooner the planned based on the volume and quality of applications. Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters but all candidates will hear back via e-mail once we have completed or review of applications. Our ideal start date for this role is early November to December 1, 2026.

If we can offer reasonable accommodations to you in the application or interview processes, or if you have feedback on how we could improve the equity or accessibility of our recruitment, you are welcome to contact us at careers @ bcorporation.net with the subject line “Accommodation request - Data Governance Lead”. Please note that we are unable to respond to general status inquiries or other messages that are unrelated to accessing our application or interview processes.