> Markdown version of [/jobs/ext/3216565-data-governance-implementation-lead](https://www.wearedevelopers.com/jobs/ext/3216565-data-governance-implementation-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Implementation Lead - **Company:** Metyis AG - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Governance, Data Infrastructure, Standard Sql, Collibra, Data Analytics, Data Management - **Published:** September 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d1eb1ab77c319ef8 ## About the Role * Experience initiating a data or governance effort from scratch, including securing sponsorship and stakeholder buy-in, not only joining one that someone else already set up. * Comfortable, and energized, engaging senior business stakeholders directly, building those relationships yourself rather than being introduced into existing ones. * Ability to take a broad, ambiguous mandate and structure it into a clear first starting point. * Strong communication skills, able to translate data concepts into business value for both technical and business audiences. * 4 to 6 years of experience in data governance, data management, data quality, analytics, business analysis, or a related field, still growing toward a broader governance leadership role. * Working understanding of data platforms and why governance matters. * Proactive, comfortable with ambiguity, and resilient. Nice to have: * Familiarity with governance frameworks (DAMA-DMBOK, CDMP) or tools (Collibra, Informatica, Alation, Microsoft Purview). * Experience in ESG, Finance, HR, Operations, Supply Chain, or another domain where data ownership matters. * Experience in a consulting, international, or multi-entity organization. * Basic SQL, BI, or data platform knowledge, and awareness of GDPR or other data protection principles. ## Description * A hands-on opportunity to help our clients build and embed data governance in practice, moving beyond theory into real business impact. * The opportunity to shape reusable data governance building blocks, including templates, ways of working and practical implementation approaches. * Regular interaction with senior business and IT stakeholders to drive impactful change. * Collaboration with experienced Metyis colleagues across data, analytics, architecture, privacy, security and business consulting. * Exposure to different clients, industries and complex data environments. * The opportunity to grow towards broader data governance leadership while contributing to a fast-growing international and diverse team. * Engagement with evolving data governance practices, industry trends and new technologies. What you will do * Help clients turn data governance from concept into daily practice, starting with areas where business value and stakeholder buy-in are highest. * Identify priority stakeholders, business pain points and governance gaps together with business and IT teams. * Define clear ownership, including Data Owners, Data Stewards, Data Custodians and decision forums, and support stakeholders in adopting these responsibilities. * Facilitate workshops to align business and technical stakeholders on ownership, definitions and decision-making. * Translate broad and ambiguous data governance challenges into clear and actionable implementation approaches. * Support the implementation and embedding of governance into clients' day-to-day ways of working. * Turn successful approaches into reusable templates, playbooks and accelerators that can be applied across projects and clients. * Collaborate with Metyis specialists across data, analytics, architecture and privacy for detailed technical implementation. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)