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VP, Global Supply Chain Data & AI

Job in Collegeville, Montgomery County, Pennsylvania, 19426, USA
Listing for: GSK
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Analyst, Systems Engineer
Job Description & How to Apply Below

VP, Global Supply Chain Data & AI – GSK

Join to apply for the VP, Global Supply Chain Data & AI role at GSK.

Site: USA – Pennsylvania – Upper Providence, GSK HQ
Posted: Dec 24 2025
Preferred location: London, UK or Philadelphia, PA

Overview

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

Position Summary

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 seek a visionary and execution‑oriented Vice President to lead this transformation across GSK’s end‑to‑end supply chain, spanning manufacturing, quality, engineering, planning, logistics, and external supply.

Key Responsibilities
  • 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 industrialised, production‑grade AI and automation embedded into daily operations, equipment workflows, and decision‑making.
  • Ensure sustained value realisation 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 optimisation 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.
  • 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 & AI.
  • Build durable teams with clear product ownership, outcome accountability, and continuous improvement.
  • Serve as a trusted thought partner to senior Global Supply Chain, Manufacturing, Quality, and Enterprise AI leaders.
  • Build strong relationships across Digital & Tech, R&D, Commercial, and external partners to ensure alignment, adoption, and sustained impact.
  • Build, lead, and inspire a globally distributed team of data scientists, AI engineers, product leaders, and analytics professionals.
  • Develop future‑ready talent and leadership pipelines.
  • Foster a culture of innovation, accountability, and relentless focus on patient and business outcomes.
  • Represent GSK externally as a leader in supply chain AI and smart…
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