Senior Manager -  AI and Data Governance

1. Role Purpose & Mandate

The Head of AI & Data Governance has a dual mandate:

Operational: Embed Governance into the Körber Data and AI Ecosystem

You will make AI and Data Governance practical, implementable, and naturally adoptable across Körber. Governance must not operate as a parallel compliance layer, but be directly integrated into our Data Platform ecosystem, tooling (e.g., Azure, Databricks), and development lifecycle.

You will translate regulatory requirements into implementable platform standards and enable domains to adopt governance through built-in workflows, guardrails, and tooling.

Strategic: Establish Federated AI & Data Governance Across the Group

You will design and position AI & Data Governance as a central, scalable discipline within Körber. This includes defining operating models, roles, standards, and a federated governance setup aligned with Legal, IT, and Business, ensuring governance scales sustainably with AI adoption and our enterprise data approach.

Leadership:

• Provide a strategic positioning of AI and Data Governance in the Körber Group
• Establish AI and Data Governance as central and impactful discipline, e.g., by initiating central committees and best practice exchanges
• Establish and lead the AI and Data governance team as required

2. Key Responsibilities

Operational Responsibilities

Governance Embedded in the Platform Ecosystem

• Integrate AI & Data Governance standards into the Körber Data Platform ecosystem and development lifecycle.
• Define guardrails, standards, and reusable patterns that are built into tooling and workflows.
• Ensure governance is implemented through automation and enablement

Regulatory Translation & Implementation

• Translate EU AI Act, ISO 42001, NIST AI RMF, GDPR and related frameworks into implementable technical and procedural standards.
• Create actionable guidance for AI/ML use cases, data products, and model lifecycle management.
• Establish risk classification, model inventory, and documentation standards.

Hands-on Enablement

• Support ongoing ML/AI and data initiatives with practical governance guidance.
• Collaborate closely with Data Platform engineers to implement governance-by-design.
• Advise domains on governance implementation within their data products.

Federated Governance Enablement

• Establish and moderate a Körber-wide AI & Data Governance Working Group.
• Enable a federated model where domains retain ownership but operate under shared standards.
• Facilitate best practice exchange and alignment across business areas.

Cross-Functional Alignment

• Work closely with Legal, IT Security, Compliance, and Business stakeholders to operationalize governance requirements.
• Act as translator between regulatory, technical, and business perspectives.

4. Required Experience

• 7–12+ years of experience in AI governance, data governance, risk management, or related domains.
• Proven experience embedding governance into technical platforms or development lifecycles.
• Strong understanding of AI/ML systems, including generative AI and model lifecycle management.
• Demonstrated experience translating regulatory requirements into operational standards.
• Experience working across Legal, IT, and Business stakeholders.
• Experience operating in federated or data mesh environments is a strong plus.
• Experience with Microsoft Azure ecosystem and Databricks preferred.