Head of Enterprise Data Management & Governance – Global Pharma Hybrid (2 days onsite each week near Frankfurt)
The rules for governing AI don’t exist yet. You’ll write them.
This is a rare opportunity to sit at the centre of a large-scale data and AI transformation and define how unstructured data, AI and agentic workflows are governed across a global pharmaceutical company.
Not a compliance role.
Not a maintenance role.
This is about setting direction where there is no playbook.
Your work will shape how data is used across research, manufacturing, quality, commercial, human pharma and animal health – enabling faster innovation, better decisions, and real-world impact at scale.
If you’re excited by AI, influence and building something that hasn’t been done before, this is worth a look.
What you will do:
Define enterprise governance models for unstructured data, AI and emerging technologies
Shape what “good” looks like for data products in an AI-first environment
Influence how R&D, manufacturing, quality and commercial teams use data globally
Coach and lead Product Owners, Architects and Engineers
Challenge assumptions, set direction, and help write the future operating model for data
What makes this different:
Greenfield challenge – you’re not inheriting legacy governance frameworks, you’re creating new ones
Enterprise influence – your decisions impact multiple business units and disciplines
True leadership role – autonomy to take inventory, form opinions and drive strategy
Purpose-driven work – your frameworks will accelerate drug discovery, improve clinical trials and help get treatments to patients faster
What you will need:
Strong background in enterprise data management, data governance or data strategy
Experience working with modern data platforms and complex data ecosystems
Proven ability to influence senior stakeholders and lead through ambiguity
A strategic mindset with the confidence to challenge, shape and define direction
Experience in regulated environments, AI, or unstructured data is a strong plus
Why this role:
Strong background in enterprise data management, data governance or data strategy
Experience working with modern data platforms and complex data ecosystems
Proven ability to influence senior stakeholders and lead through ambiguity
A strategic mindset with the confidence to challenge, shape and define direction
Experience in regulated environments, AI, or unstructured data is a strong plus
Why apply:
Because opportunities to define how AI is governed at a global scale are extremely rare.
Because this is leadership, not maintenance.
Because your work will actually matter.
To explore this opportunity further and learn more, click the enquire today button.