Governance IT Data Engineer (M/F/D)

📋 Description

• Implement AI governance processes across the full AI lifecycle, including data, development
• Embed governance controls into AI/ML platforms, MLOps pipelines and lifecycle management processes.
• Manage AI governance operations, including AI registries, model and agent inventories, asset
• Drive automation to reduce manual governance activities and improve compliance.
• Ensure traceability, transparency and auditability of AI assets, models and decisions.
• Develop governance metrics, dashboards and KPIs covering compliance, adoption, risk and

🎯 Requirements

• 8–12+ years of experience in AI/ML, technology operations, governance, risk, digital transformation
• Proven experience implementing enterprise governance processes and operating models.
• Experience working with AI/ML platforms, MLOps, DevSecOps or data platforms.
• Demonstrated ability to operationalise controls and drive adoption across complex organisations.
• Expertise in AI lifecycle management and MLOps.
• Expertise in AI governance, risk, controls and compliance.