14 meilleures offres (data visualization, zürich, zh) (à pourvoir)

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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, PowerPoint, 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

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