AI Product Manager – Development & Tech Transfer

Overview

In this role you will lead AI opportunities within Development & Technology Transfer, partnering with scientists, engineers, and manufacturing experts to apply AI to process development, scale-up, and manufacturing readiness. You will orchestrate cross-functional Fusion Teams to deliver measurable outcomes and drive AI product development from concept to stage-gate readiness. You will translate scientific challenges into concrete AI requirements and maintain prioritized backlogs to maximize value. This is a mission-driven position at Lonza that blends life sciences with AI to accelerate biopharma delivery.

Pay / Benefits

• agile culture
• inclusive workplace
• global benefits via/local tailored options

Responsibilities

• Identify AI-enabled opportunities across process development, scale-up, and technology transfer
• orchestrate Fusion Team delivery with prioritized backlog and high-value focus
• Translate scientific challenges into AI product requirements with AI Engineering and Data Science teams
• Manage lifecycle stages and ensure deliverables for stage-gate decisions
• Develop AI product delivery expertise and share insights with other AI Product Managers
• Support roadmap alignment and stakeholder reporting to keep progress visible across the organization

Key requirements

• Experience in Process Development, MSAT, Technology Transfer, Manufacturing Science/Engineering or related biopharma area
• Experience with digital, data or AI-enabled products/solutions
• Strong understanding of biopharmaceutical process development, scale-up and technology transfer
• Ability to work credibly with scientists, engineers, MSAT and manufacturing teams
• Comfort operating across modalities and identifying opportunities for reuse
• Strong scientific and analytical mindset
• Ability to challenge assumptions and connect patterns across processes and modalities

• Cross-functional collaboration
• Analytical mindset
• Problem-solving
• AI product management
• Data-driven decision making
• AI/ML familiarity

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