# Senior Product Manager, Manufacturing Technologies at GSK

GSK is hiring a Senior Product Manager, Manufacturing Technologies in London, United Kingdom. Level rates it Uses AI ●●○○; you can [apply on GSK](https://jobsbylevel.com/go/bdbbe317-c93a-4701-aa4c-0c3c2d3f0022?utm_medium=ai-agent).

AI Level 2, AI centrality 45 out of 100. Remote (UK – London – New Oxford Street).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 2 (score 45 out of 100)
- Location: Remote (UK – London – New Oxford Street)
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/bdbbe317-c93a-4701-aa4c-0c3c2d3f0022?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-product-manager-manufacturing-technologies-at-gsk-796024

## Prepare for this job

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## Description

At GSK, we unite science, technology and talent to get ahead of disease together. We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. We’re proud to be leading a healthcare revolution, and we’re looking for people who can help us deliver on our ambition. Role Overview The Senior Product Manager – Manufacturing Technologies is accountable for the value, adoption, reliability and lifecycle of the Factory Integration Layer (FIL) and related manufacturing and supply-chain integration capabilities. The role translates business, manufacturing and data needs into a clear product vision, roadmap and investment plan for secure, governed and reusable data movement across site, edge and enterprise environments. Operating within guardrails set by the Product Domain Lead, the role owns product direction and prioritization for integrations connecting manufacturing systems, operational technology, enterprise applications, data platforms and analytics environments. It ensures integrations are managed as reusable capabilities with appropriate standards for interoperability, semantics, observability, security, validation, and support. The role works with Product Owners, business and data owners, sites, architects, engineers, service teams, Quality, Cyber Security and external partners. It remains accountable for roadmap coherence, investment choices, benefits of realization and service health, while promoting simplification, standardization and technology-agnostic solutions. In this role you will Own the product vision, strategy, roadmap and lifecycle plan for FIL and related manufacturing and enterprise data integration capabilities. Lead your team in using approved AI tools to improve productivity and ways of working, role-modelling responsible use and follow GSK’s Responsible AI, privacy and security requirements. Partner with manufacturing sites, Business Process Owners, Quality, Engineering, Supply Chain, Digital and Data stakeholders to identify integration needs, process pain points, data dependencies and opportunities for standardization or reuse. Define outcomes and investment priorities for connectivity, orchestration, transformation, contextualization, event exchange, APIs and data delivery across shop-floor, site, edge, cloud and enterprise environments. Ensure FIL is positioned and managed as a scalable, reusable integration capability that supports priority manufacturing and CMC programs while avoiding unnecessary site-specific or program-specific customization. Develop outcome-based investment proposals covering value, scope, cost, benefits, risks, dependencies and success measures. Set prioritization guardrails for Product Owners and delivery teams and make roadmap trade-offs based on business value, compliance, operational continuity, reuse potential, urgency, capacity, technical dependencies and total cost of ownership. Coach Product Owners and peers, for example by reviewing their roadmaps and backlogs and sharing good practice, and drive high performance without formal authority Partner with Enterprise, Solution, Data and Security Architects to define and govern reusable integration patterns, interface principles, canonical or semantic models, metadata expectations and architecture decision records. Promote consistent information models, data contracts, naming, lineage and contextualization practices, including alignment with enterprise ontology, knowledge-graph and unified namespace approaches where these support approved business outcomes. Establish measures for adoption, reuse, reliability, data quality, service performance, user experience and benefits realization. Embed observability, monitoring, support ownership, continuity, recovery and service-level expectations in the roadmap and definition of done. Ensure product initiatives satisfy applicable governance for cyber security, data protection, quality, validation, records management,

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Source: https://jobsbylevel.com/jobs/senior-product-manager-manufacturing-technologies-at-gsk-796024

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Level. https://jobsbylevel.com/jobs/senior-product-manager-manufacturing-technologies-at-gsk-796024.

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