AI Data Governance Lead — Drive Practical Implementation

Metyis AG

Amsterdam

On-site

EUR 70,000 - 100,000

Full time

2 days ago
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Job summary

Metyis is a global firm helping clients embed Data Governance and AI governance into real business impact. Join a multidisciplinary team delivering governance frameworks, templates, and practical playbooks across Data, Analytics, AI and IT.

You will work with senior stakeholders to translate governance concepts into tangible roadmaps, drive adoption of data ownership and quality practices, and help clients turn governance into repeatable, scalable outcomes across complex enterprise data

Qualifications

  • Proven experience in Data Governance and data management in enterprise environments.
  • Ability to translate governance concepts into business value for technical and non-technical audiences.
  • Strong stakeholder management and communication skills to drive adoption and alignment.

Responsibilities

  • Help clients turn Data and AI Governance into daily practice, starting with high-value areas.
  • Identify priority stakeholders, business pain points and governance gaps with Business, Data, AI and IT teams.
  • Define clear governance ownership and accountability, including Data Owners and Data Stewards, and support adoption.
  • Facilitate workshops to align stakeholders on ownership, definitions and governance requirements.
  • Translate broad governance challenges into actionable implementation roadmaps.
  • Support embedding governance into day-to-day data activities, including quality, lineage and access.

Skills

Data Governance
Data Management
Data Quality
Analytics
Business Analysis
AI Governance

Tools

Collibra
Informatica
Alation
Microsoft Purview
Azure
Databricks

Job description

Metyis is a global firm helping clients embed Data Governance and AI governance into real business impact. Join a multidisciplinary team delivering governance frameworks, templates, and practical playbooks across Data, Analytics, AI and IT.

You will work with senior stakeholders to translate governance concepts into tangible roadmaps, drive adoption of data ownership and quality practices, and help clients turn governance into repeatable, scalable outcomes across complex enterprise data

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