Data Governance Lead (Amsterdam, NLD) in London

Data Governance Lead (Amsterdam, NLD) in London

London Full-Time 63000 - 77000 £ / year (est.) Working from home possible
B

At a Glance

  • Tasks: Lead data governance and standards, ensuring compliance and driving data literacy across the organisation.
  • Company: Join B Lab, a nonprofit championing social and environmental business standards.
  • Benefits: Competitive salary, generous vacation, remote-first work, and professional development opportunities.
  • Other info: Flexible work environment with a focus on community and personal growth.
  • Why this job: Make a real impact in shaping data governance for a fairer economy.
  • Qualifications: 3+ years in data governance, strong SQL skills, and excellent communication abilities.

The predicted salary is between 63000 - 77000 £ per year.

Please Note: B Lab is not working with a third party to fill this role and 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 São Paulo.

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

  • 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.

Our ideal start date for this role is early November to December 1, 2026.

About B Lab

B Lab™ is the nonprofit behind Certified B Corporations™, a community of businesses that meet verified social, environmental, and governance standards. Together, our movement is working towards a more inclusive, equitable, and fair economic system.

Our history: B Lab began in 2006 with the idea that a different kind of economy was not only possible — it was necessary. Our founders Andrew Kassoy, Bart Houlahan, and Jay Coen Gilbert believed there was a better way to do business: better for workers, better for communities, and better for the planet. When our movement’s first 81 Founding BCorps signed the Declaration of Interdependence in 2007, they were not just proposing a better way of doing business. They were proposing a different definition altogether.

What we’ve achieved: B Lab became known for certifying B Corporations™, companies that meet verified standards of social and environmental performance, accountability, and transparency. But we do much more than that. We help mobilize a global community of businesses committed to collective action on society’s most critical challenges. In 2010, B Lab was part of successfully drafting and passing benefit corporation in Maryland, the first U.S. state to do so. This created a legal framework that allows companies to keep their values of care and community, not just shareholder value, at the forefront. Today, benefit corporation legislation is active in 52 jurisdictions around the world.

Our future: In 2024, leaders from across the network agreed to evolve into a more integrated organization that embodies interdependence. This next iteration of our global network will balance global coherence with local agency to achieve our vision of economic systems change. We are now building this future together.

Data Governance Lead (Amsterdam, NLD) in London employer: Blab

B Lab is an exceptional employer that champions a remote-first work culture, allowing you to thrive in a flexible environment while making a meaningful impact on data governance. With a strong focus on employee growth, B Lab offers opportunities for professional development and collaboration with talented teams, ensuring that your contributions drive analytics compliance and foster trust in data across the organisation. Join us to be part of a mission-driven company that values innovation and integrity in its approach to data stewardship.

B

Contact Details:

Blab Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance Lead (Amsterdam, NLD) in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Blab!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Governance Lead (Amsterdam, NLD) at Blab.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Blab.

Apply Directly through Our Website

When you find a suitable opening like Data Governance Lead (Amsterdam, NLD) at Blab, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Governance Lead (Amsterdam, NLD) in London

Data Governance
Data Standards & Definitions
SQL/Data Fluency
Data Literacy & Enablement
Compliance Knowledge
Documentation
Cross-Team Collaboration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Blab, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Blab. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Blab

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Blab!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.