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From the employer's careers site First seen 10 Nov 2026

Product Manager

GSK London, New Oxford Street Hybrid senior full-time

The employer hasn't listed a salary.

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Description

Are you an experienced Product Manager who wants to use digital, data and AI to improve how Engineering, Environment, Health & Safety (EHS) and Sustainability capabilities are delivered?

In this role, you will shape the strategy and roadmap for a portfolio of digital products supporting Engineering, EHS and Sustainability across GSK. You will work with business and technology teams to turn complex needs into simple, scalable and sustainable product solutions.

You will focus on measurable business outcomes, identifying opportunities to simplify processes, improve user experience and make responsible use of data, automation and AI.

Key Responsibilities

  • Define and maintain the product vision, strategy and roadmap for Engineering, EHS and Sustainability capabilities, aligned with business priorities and enterprise technology strategy.
  • Partner with business leaders, users and Product Owners to understand business challenges and translate them into clear product outcomes and priorities.
  • Develop investment proposals and make roadmap decisions based on business value, cost, risk, compliance, operational impact and technical dependencies.
  • Guide Product Owners and cross-functional teams through discovery, delivery, release and adoption, ensuring solutions remain aligned with agreed product outcomes.
  • Identify opportunities for simplification, standardisation, automation and responsible use of AI and data, taking initiatives from discovery through delivery, adoption and benefits realisation.
  • Measure product performance through adoption, user experience, reliability, process outcomes and business value, while ensuring appropriate governance across cyber security, data protection, quality, validation and service readiness.

Basic Qualifications & Experience

  • Degree in Computer Science, Information Technology, Engineering, Data Science, Business, Life Sciences or a related discipline, or relevant experience in product management, digital technology or business systems.
  • Experience defining and delivering a product vision, strategy and roadmap for a digital product, platform or capability.
  • Experience in at least one of the following areas: Engineering, including plant maintenance, calibration, validation, content management or capital projects; EHS, including incident management, occupational health, industrial hygiene or chemical compliance; or Sustainability, including energy efficiency, clean energy or waste management.
  • Experience translating business requirements and user needs into product outcomes, investment proposals and prioritised delivery plans.
  • Experience working with Product Owners and cross-functional teams across product discovery, design, delivery, release, adoption and operation.
  • Experience operating within enterprise technology governance, including areas such as architecture, cyber security, data protection, quality, validation, change management or service readiness.

Preferred Qualifications & Experience

  • Experience developing strategies, roadmaps or business cases for AI-enabled, data-driven or advanced analytics products.
  • Experience taking AI or data-enabled capabilities from discovery and experimentation through delivery, adoption and scale.
  • Understanding of generative AI, machine learning, intelligent automation and analytics from a product management perspective.
  • Experience defining product measures covering business value, adoption, user experience, quality, reliability and operational performance.
  • Commercial and financial experience, including evaluating cost, benefits, risk and total cost of ownership.
  • Experience influencing senior stakeholders and working across business, technology, data, cyber security and external partners in a global organisation.

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Skills

Required

Nice to have

  • Experience developing strategies, roadmaps or business cases for AI-enabled, data-driven or advanced analytics products
  • Experience taking AI or data-enabled capabilities from discovery and experimentation through delivery, adoption and scale
  • Understanding of generative AI, machine learning, intelligent automation and analytics from a product management perspective
  • Experience defining product measures covering business value, adoption, user experience, quality, reliability and operational performance
  • Commercial and financial experience, including evaluating cost, benefits, risk and total cost of ownership
  • Experience influencing senior stakeholders and working across business, technology, data, cyber security and external partners in a global organisation
Apply on GSK