Data Governance Manager

Join Boehringer Ingelheim as aData Governance Managerin the Human Pharma Data & Analytics Division inIngelheimand play a strategic role in driving the effective use, management, and governance of data in an agentic environment.

In this highly visiblerole,you will shape Human Pharma’snext-generation,semanticbasedData Governance to enablethe useof AI agents at scale.

This includesthe design and operationof asemantic layerorknowledge graph, ensuring seamless integration with the enterprise data framework.

You will collaborate across HP’s business functions and partner with IT to pioneer a strong HP data community to keep AI governance and standards state-of-the-art.

This position is part time eligible with 80%.

Tasks & responsibilities

• Designontologies, semantic layers, and knowledge graph capabilitiesto enable resilient, compliant, and automated data governance.
• Define and implement theoperating model for data governanceknowledgegraph capabilities, including roles, processes, and quality standards.
• Ensureintegrationinto our existing data governance model,datacatalogandagent authorization frameworks.
• Lead thephased rollout and adoptionof semantic governance capabilities, including training for Data Domain Owners and other key stakeholders.
• Act as a data governance thought leader for Human Pharma by sharing best practices, advising stakeholders, and promoting pragmatic governance solutions.

Requirements

• Several years of experience in semantic layers, ontologies, knowledge graphs, or comparable data architecture capabilities.Experienceindefining and implementingsemantic layersin a commercial context,atbestin the pharmaceutical or other highly regulated industry.
• Strongunderstanding ofAI‑enabled data consumption, agenticworkflowsand agent-to-agent communication requirements.
• Strong understanding ofmodern data governance foundations,including:data ownership and stewardship models, metadata management and data catalogs, data quality, lifecycle, and access governance, harmonized business terminology.
• You bring a strong conceptual understanding of knowledge-centric governance, including how semantic layers and knowledge graphs enable automated reasoning, discovery, and governance-by-design to drive data governance automation.
• Experience withenterprise data platforms, data domains, and governance frameworksis required; familiarity with Boehringer Ingelheim’sDatalandenvironment is a plus.

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.

Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.