AI Data Governance Implementation Lead

Job description

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. Who we are 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. What we offer A hands-on opportunity to help clients build and embed Data and AI Governance in practice, moving beyond frameworks into real business impact. The opportunity to shape reusable governance building blocks, including templates, playbooks, ways of working and practical implementation approaches. Regular interaction with senior business, Data, AI and IT stakeholders to drive governance adoption and responsible use of data and AI. Collaboration with multidisciplinary teams across Data, Analytics, AI, Architecture, Privacy and Security. Exposure to complex enterprise data environments and evolving AI technologies, governance practices and responsible AI principles. What you will do 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. Identify priority stakeholders, business pain points and governance gaps together with Business, Data, AI and IT teams. Define clear governance ownership and accountability, including Data Owners, Data Stewards, Data Custodians and relevant governance forums, and support stakeholders in ad…