AI Data Governance Implementation Lead

Metyis is growing! We are looking for an AI Data Governance Lead with 5-8 years of experience, to join our Data and Analytics team in Amsterdam.

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

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  Help clients turn Data and AI Governance from concept into daily practice, starting with areas where business value, risk and stakeholder buy-in are highest.

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  Identify priority stakeholders, business pain points and governance gaps together with Business, Data, AI and IT teams.

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  Define clear governance ownership and accountability, including Data Owners, Data Stewards, Data Custodians and relevant governance forums, and support stakeholders in adopting these responsibilities.

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  Facilitate workshops to align business and technical stakeholders on ownership, definitions, decision-making and governance requirements.

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  Translate broad and ambiguous Data and AI Governance challenges into clear, actionable implementation approaches.

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  Support the implementation and embedding of governance into day-to-day ways of working, including data quality, ownership, metadata, lineage, access, privacy and appropriate AI usage.

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  Work with AI, Data, Architecture, Privacy and Security teams to ensure AI initiatives are built on reliable, secure, well-governed and trusted data foundations.

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  Support governance considerations for AI solutions, including data quality, traceability, privacy, security, accountability and responsible AI practices.

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  Participate in governance forums and help ensure key Data and AI decisions, risks and responsibilities are clearly documented and understood.

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  Turn successful approaches into reusable templates, playbooks and accelerators that can be applied across projects and clients.

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  4–6 years of experience in Data Governance, Data Management, Data Quality, Analytics, Business Analysis or a related field, with exposure to AI/ML environments or AI governance being highly valuable.

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  Experience initiating a data or governance effort from scratch, including securing sponsorship and stakeholder buy-in rather than only operating within an established governance model.

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  Strong understanding of core Data Governance concepts, including data ownership, stewardship, data quality, metadata, lineage and governance processes.

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  Good understanding of how data quality, governance, privacy and security affect AI solutions and their trustworthiness.

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  Awareness of AI/ML concepts and lifecycle considerations, with the ability to engage effectively with AI, Data and technical teams. Hands-on AI development is not required.

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  Ability to take a broad or ambiguous mandate and structure it into a clear starting point and practical implementation roadmap.

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  Strong stakeholder-management and communication skills, with the ability to translate Data and AI Governance concepts into business value for both technical and non-technical audiences.

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  Comfortable engaging senior business stakeholders directly and building relationships across Business, Data, AI and IT teams.

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  Proactive, pragmatic and comfortable working with ambiguity in complex enterprise environments.

Nice to have

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  Familiarity with governance frameworks such as DAMA-DMBOK/CDMP or tools such as Collibra, Informatica, Alation or Microsoft Purview.

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  Awareness of Responsible AI / AI Governance principles, including transparency, accountability, privacy, security and human oversight.

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  Exposure to cloud/data/AI platforms such as Azure, Databricks or similar enterprise environments.

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  Experience in consulting, international or multi-entity organisations.

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  Basic SQL, BI or data-platform knowledge and awareness of GDPR or other data-protection principles.

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.