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AI Products Lead

lonza · Basel

Nouveau
Hybrid Senior 🇬🇧 English
Generative AI Product lifecycle management Agile methodologies Portfolio prioritization Responsible AI Data governance

Description du poste

About the role

Lonza is seeking an experienced AI Products Lead to drive its AI product portfolio across the value chain. The role works closely with business and functional leaders to identify, shape, build and scale AI products that deliver measurable business outcomes, owning the product lifecycle from opportunity identification and prioritization through delivery, adoption, scaling and retirement. It is primarily based on site in Basel, with up to 20% remote work possible on a case-by-case basis.

Key responsibilities

  • Partner with business and functional leaders to identify, evaluate and prioritize high-value AI opportunities.
  • Own the end-to-end AI product lifecycle, including strategy, roadmap, prioritization, delivery, adoption, scaling and retirement.
  • Translate business challenges into scalable AI products and use cases that improve efficiency, innovation and decision-making.
  • Lead cross-functional collaboration between business stakeholders, AI specialists, data teams, IT and external partners.
  • Establish product management best practices, including governance, success metrics, value realization tracking and portfolio management.
  • Drive user adoption and change management to maximize the value of AI solutions.
  • Ensure AI products comply with responsible AI principles, data governance, security standards and regulatory expectations.

Required profile

  • Master's degree in Business Strategy, Artificial Intelligence, Data Science, Computer Science or a related field.
  • Significant experience in AI product management, digital product leadership or technology-driven business transformation in complex organizations.
  • Proven track record of taking AI products from concept to implementation and driving adoption and measurable value.
  • Experience across business, data, technology and engineering teams, with strong stakeholder management and influencing skills.
  • Knowledge of AI governance, responsible AI, data management, security and compliance; life sciences, pharma, manufacturing or CDMO experience is highly desirable.

Required skills

  • Strong understanding of AI and Generative AI, product lifecycle management, agile methodologies and portfolio prioritization.
  • Responsible AI principles, data governance and compliance awareness.

What we offer

  • A competitive salary and a competitive package of lifestyle, family and leisure benefits.
  • An agile career and working culture, and an inclusive, ethical workplace.
  • Compensation programs that recognize high performance.
  • Relocation assistance for eligible candidates and their families, if needed.

Questions fréquentes

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Source : ats:workday

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lonza

Basel