VP, Global Supply Chain Data & AI

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Site Name: USA - Pennsylvania - Upper Providence, GSK HQ

Posted Date:
Dec 24 2025

Enterprise AI is the engine that scales artificial intelligence across GSK, providing platforms, governance, talent, and execution models that enable every function to deliver value with AI. Global Supply Chain is a critical value driver for GSK, responsible for delivering billions of doses and medicines globally with the highest standards of quality, reliability, and efficiency.

This role sits at the intersection of enterprise AI ambition and supply chain execution, with a unique opportunity to shape how AI transforms manufacturing and supply at global scale while directly improving patient outcomes.

GSK is a science‑led global healthcare company with a clear purpose to help people do more, feel better, and live longer. As part of our Enterprise AI organization, we are accelerating an enterprise‑wide transformation to embed data, analytics, and artificial intelligence into the core of how GSK operates.

We are seeking a visionary and execution‑oriented Vice President, Global Supply Chain Data & AI to lead this transformation across GSK’s end‑to‑end supply chain, spanning manufacturing, quality, engineering, planning, logistics, and external supply.

This is a senior executive leadership role within GSK’s Enterprise AI team, working in close partnership with Global Supply Chain leadership and Digital & Tech. The role is accountable for translating enterprise AI strategy into measurable P&L, service, and resilience outcomes across a complex, regulated, global supply chain network that includes more than 37 sites, thousands of suppliers, and critical product launches across Vaccines, Specialty Medicines, and General Medicines.

• Define and own the Global Supply Chain Data & AI strategy aligned to GSK Enterprise AI and Global Supply Chain priorities.
• Translate strategy into a multi‑year roadmap focused on inventory reduction, yield improvement, service level performance, cycle time reduction, cost productivity, and supply resilience.
• Shape GSK’s long‑term vision for AI‑enabled physical supply chains, including the role of industrial AI, intelligent automation, and cyber‑physical systems alongside digital analytics.
• Ensure tight linkage between AI investments and measurable business outcomes.
• Lead the delivery of scalable AI, advanced analytics, and intelligent automation solutions across manufacturing, quality, engineering, planning, logistics, and external manufacturing.
• Drive the shift from experimentation to industrialized, production‑grade AI and automation embedded into daily operations, equipment workflows, and decision‑making.
• Ensure sustained value realization through adoption, operational integration, and continuous improvement.
• Own the supply chain AI product portfolio built on GSK’s enterprise data and AI platforms.
• Partner with platform engineering, manufacturing engineering, and Digital & Tech to shape capabilities including advanced optimization and simulation, digital twins and virtual commissioning, predictive and prescriptive analytics, agent‑enabled and automation‑supported workflows, and AI applied at the interface of software, equipment, and operations.
• Ensure solutions are interoperable, reusable, and designed for global scale across both IT and OT environments.
• Establish and scale a forward‑deployed AI delivery model that embeds technical and product talent directly into supply chain value streams.
• Ensure AI solutions work in real‑world manufacturing and logistics environments, including legacy systems, equipment‑level data, regulated processes, and complex data landscapes.
• Bridge strategy, technology, and execution at the point of value creation.
• Ensure all AI solutions adhere to GxP, data privacy, security, and Responsible AI standards.
• Partner closely with Quality, Regulatory, Legal, and Risk functions to embed compliance by design while maintaining delivery speed and innovation.
• Drive the evolution from project‑based delivery to product‑centric, agile operating models across Global Supply Chain Data &…