Head, Process Data

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Job Description

About the role

As Head of Process Data you will define and lead Takedas global CMC Data Strategy within MSAT enabling the next generation of data-driven manufacturing and technology transfer across biologics plasma vaccines and synthetic molecules. You will serve as the global business process owner for CMC data driving harmonized data standards governance and digital capabilities that support operational excellence and accelerate scientific innovation. This is a highly visible leadership role at the intersection of manufacturing data science and digital transformation.

How you contribute

• Define and govern global CMC data standards including taxonomies ontologies metadata frameworks and data models across all modalities.

• Establish and lead the global CMC Data Model to ensure consistency across manufacturing sites functions and technologies.

• Build and oversee global CMC data governance frameworks including stewardship ownership and data quality standards.

• Enable data-driven manufacturing and technology transfer by ensuring access to structured FAIR and analysis-ready process data.

• Partner closely with Digital Data & Technology (DD&T) and local MSAT teams to implement business rules and scalable digital solutions.

• Drive CMC data quality integrity and GxP compliance across the global manufacturing network.

• Lead coach and develop a high-performing global team of process data experts while fostering capability building across the wider CMC data community.

• Represent Takeda externally in scientific and industry forums helping shape the future of CMC data standards and digital manufacturing practices.
  

What you bring to Takeda

• Advanced degree (Masters or PhD) in a STEM discipline such as Chemical Engineering Biochemical Engineering Data Science Life Sciences or a related field.

• Minimum of 10 years of experience within the pharmaceutical or biotechnology industry with significant exposure to CMC development or manufacturing environments.

• Demonstrated expertise in data modelling taxonomies ontologies and governance frameworks applied to pharmaceutical process data.

• Strong understanding of manufacturing processes process data flows and integration of data across complex global organizations.

• Experience working with FAIR data principles and modern data platforms such as OSI PI Databricks AWS or equivalent technologies.

• Proven track record leading cross-functional and geographically dispersed teams while influencing senior stakeholders and technical experts.

• Strong knowledge of data integrity requirements and GxP-compliant data environments.

• Programming experience in Python and SQL combined with high learning agility curiosity and a passion for innovation and digital transformation.

• Excellent leadership communication and change management skills with a strong commitment to developing people and driving engagement across global teams.

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