Data Governance Manager
The Position
Join Boehringer Ingelheim as a Data Governance Manager in the Human Pharma Data & Analytics Division in Ingelheim and play a strategic role in driving the effective use, management, and governance of data in an agentic environment.
In this highly visible role, you will shape Human Pharma’s next-generation, semantic based Data Governance to enable the use of AI agents at scale.
This includes the design and operation of a semantic layer or knowledge 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
- Design ontologies, semantic layers, and knowledge graph capabilities to enable resilient, compliant, and automated data governance.
- Define and implement the operating model for data governance knowledge graph capabilities, including roles, processes, and quality standards.
- Ensure integration into our existing data governance model, data catalog and agent authorization frameworks.
- Lead the phased rollout and adoption of 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. Experience in defining and implementing semantic layers in a commercial context, at best in the pharmaceutical or other highly regulated industry.
- Strong understanding of AI‑enabled data consumption, agentic workflows and agent-to-agent communication requirements.
- Strong understanding of modern 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 with enterprise data platforms, data domains, and governance frameworks is required; familiarity with Boehringer Ingelheim’s Dataland environment 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.
Ready to contact us?
If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Step 1: Online application - The job posting is presumably online until September 18, 2026. We reserve the right to take the posting offline beforehand. Applications up to September 04, 2026 are guaranteed to be considered.
Step 2: Virtual meeting starting at the end of September
Step 3: On-site interviews beginning at the end of October