Job description
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Job Description 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: Demonstrate a strong commitment to on-site support, including frequent , short- notice global travel and the ability to spend extended periods away from home during critical events.
Lead end-to-end troubleshooting of complex , high-impact manufacturing issues to ensure timely and effective resolution . 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 to drive structured , data- driven decision making.
Partner with cross- functional stakeholders to identify , prioritize , and implement process improvements and innovation opportunities . Apply advanced data analytics and AI tools to solve complex manufacturing problems and enhance operational decision making. Leverage automation and digital solutions to improve efficiency , scalability , and overall productivity .
Drive consistency in problem -solving practices across the network, reinforcing a high- performing , solution-oriented culture. What you bring to Takeda: Bachelor's degree in Life Science, Engineering, Manufacturing, or related field. An advanced degree (MS or PhD) is preferred. Minimum 7-10 years experience in manufacturing, troubleshooting methodology , best practices, and creating business processes.
Lean Six Sigma Green/Black Belt certification or equivalent process improvement certification Experience in contract manufacturing business is a plus Strong knowledge of GMP and regulatory compliance standards (FDA, EMA, ICH, etc.) Proficiency in root cause analysis tools (e.g., Fishbone Diagram, 5 Whys, etc.) Experience with statistical tools and software (e.
g., Minitab, JMP) for data analysis. Proven ability to lead cross-functional teams and manage multiple investigations simultaneously. Proven hands-on experience in Data Analytics is a valuable asset . Project management experience. Proficiency in visualization (Miro, white boards, dashboards, P ower. Point, etc.) Excellent command of English (both written and oral).
Experience with AI technologies to drive business excellence and transformation Locations CHE
- Glattpark (Opfikon)
- Zurich HQCambridge, MA Base Salary Range: CHF159,300.00
- CHF219,010.00 For information about our benefits, please click here . Worker Type Employee Worker Sub-Type Regular Time Type Full time