Process Investigation Lead
Takeda
August 19, 2026
Remote friendly (Cambridge, MA)
United States
Operations
About the role:
- Lead and resolve complex manufacturing investigations across all commercial products.
- Lead and manage task forces to address critical situations effectively.
- Develop and implement problem-solving methodologies.
- Champion the integration of AI and digital tools into manufacturing troubleshooting and decision-making.
- Lead digital transformation initiatives to modernize investigation processes and operational excellence frameworks.
How you will contribute:
- Provide frequent, short-notice on-site support, including travel and extended time away during critical events.
- Lead end-to-end troubleshooting of complex, high-impact manufacturing issues.
- Stand up and manage cross-functional task forces (internal sites and CMOs) to address urgent, business-critical challenges.
- Design, standardize, and continuously improve problem-solving methodologies for structured, data-driven decisions.
- Partner with stakeholders to identify, prioritize, and implement process improvements and innovation opportunities.
- Apply advanced data analytics and AI tools to solve complex manufacturing problems.
- Leverage automation and digital solutions to improve efficiency, scalability, and productivity.
- Drive consistency in problem-solving practices across the network.
What you bring to Takeda:
- Bachelor’s degree in Life Science, Engineering, Manufacturing, or related field; MS/PhD preferred.
- 7–10 years manufacturing/troubleshooting methodology and process development experience.
- Lean Six Sigma Green/Black Belt (or equivalent).
- GMP and regulatory compliance knowledge (FDA, EMA, ICH, etc.).
- Root cause analysis tools (e.g., Fishbone Diagram, 5 Whys).
- Statistical tools (e.g., Minitab, JMP).
- Ability to lead cross-functional teams and manage multiple investigations.
- Data analytics experience (valuable).
- Project management experience.
- Visualization proficiency (e.g., Miro, dashboards, PowerPoint).
- English proficiency (written and oral).
- Experience with AI technologies for transformation.
Benefits:
- Benefits details available via “click here” link.
- Lead and resolve complex manufacturing investigations across all commercial products.
- Lead and manage task forces to address critical situations effectively.
- Develop and implement problem-solving methodologies.
- Champion the integration of AI and digital tools into manufacturing troubleshooting and decision-making.
- Lead digital transformation initiatives to modernize investigation processes and operational excellence frameworks.
How you will contribute:
- Provide frequent, short-notice on-site support, including travel and extended time away during critical events.
- Lead end-to-end troubleshooting of complex, high-impact manufacturing issues.
- Stand up and manage cross-functional task forces (internal sites and CMOs) to address urgent, business-critical challenges.
- Design, standardize, and continuously improve problem-solving methodologies for structured, data-driven decisions.
- Partner with stakeholders to identify, prioritize, and implement process improvements and innovation opportunities.
- Apply advanced data analytics and AI tools to solve complex manufacturing problems.
- Leverage automation and digital solutions to improve efficiency, scalability, and productivity.
- Drive consistency in problem-solving practices across the network.
What you bring to Takeda:
- Bachelor’s degree in Life Science, Engineering, Manufacturing, or related field; MS/PhD preferred.
- 7–10 years manufacturing/troubleshooting methodology and process development experience.
- Lean Six Sigma Green/Black Belt (or equivalent).
- GMP and regulatory compliance knowledge (FDA, EMA, ICH, etc.).
- Root cause analysis tools (e.g., Fishbone Diagram, 5 Whys).
- Statistical tools (e.g., Minitab, JMP).
- Ability to lead cross-functional teams and manage multiple investigations.
- Data analytics experience (valuable).
- Project management experience.
- Visualization proficiency (e.g., Miro, dashboards, PowerPoint).
- English proficiency (written and oral).
- Experience with AI technologies for transformation.
Benefits:
- Benefits details available via “click here” link.