Head, Process Data

Takeda Pharma AG seeks an Executive Head of Process Data in Zürich to define and execute the global CMC Data Strategy, ensuring high-quality, FAIR, and analysis-ready process data across all modalities.

This executive role is responsible for establishing enterprise-wide data standards, governance, and capabilities within Manufacturing Science and Technology (MSAT). The position enables a data-driven approach to process development, technology transfer, and manufacturing by ensuring the availability of structured, contextualized, and analysis-ready process data across biologics, plasma, vaccines, and synthetic molecules.

Responsibilities

• Define and execute the global CMC Data Strategy across biologics, plasma, vaccines, and synthetic molecules.
• Establish and govern global CMC data standards, including taxonomies, ontologies, metadata frameworks, and enterprise data models.
• Act as the Global Business Process Owner (BPO) for CMC data, driving governance, lifecycle management, and data stewardship.
• Build and lead a global capability delivering standards, SOPs, governance frameworks, and job aids for MSAT teams.
• Enable data-driven manufacturing and technology transfer by ensuring the availability of structured, contextualized, and analysis-ready process data.
• Partner closely with DD&T and global MSAT organizations to implement scalable CMC data solutions and business rules.
• Drive data quality, integrity, and GxP compliance while promoting continuous improvement and adoption of best practices.
• Represent Takeda externally through scientific collaborations, industry forums, and partnerships to help shape the future of CMC data standards.

Requirements

• Master's or PhD in Science, Technology, Engineering, Mathematics, or a related discipline.
• Extensive pharmaceutical or biotechnology industry experience with a strong background in CMC development, manufacturing, and data management.
• Proven expertise in data modelling, taxonomies, ontologies, metadata frameworks, and data governance.
• Experience implementing data integration solutions within regulated GxP environments.
• Strong programming and analytical skills, including Python and SQL.
• Demonstrated ability to lead cross-functional, global initiatives and influence senior stakeholders across functions and geographies.
• Excellent leadership, communication, and change management skills.

Nice to have

• Background in Chemical or Biochemical Engineering.
• Passion for innovation, continuous improvement, and leveraging digital technologies to advance manufacturing and process intelligence.
• Strong commitment to developing people and driving engagement across global teams.