VP, Global Supply Chain Data & AI

GSK•Upper Providence, PA

About The Position

About Enterprise AI and Global Supply Chain at GSK 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. Position Summary 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. As AI increasingly moves from digital decision support into the physical world of manufacturing, quality, and logistics, this role will help shape how emerging capabilities — including industrial AI, intelligent automation, robotics-enabled processes, and cyber-physical systems — are responsibly integrated into GSK’s global supply chain. The role does not require deep hands-on expertise in every emerging technology, but does require strong technical judgment, curiosity, and the ability to partner with domain experts across IT, OT, engineering, and manufacturing to translate innovation into scalable, compliant impact. The VP, Global Supply Chain Data & AI will define strategy, build and scale AI products, lead high-performing global teams, and ensure AI solutions move from pilots to sustained production impact.

Requirements

Advanced degree in a quantitative, technical, or engineering discipline such as data science, computer science, engineering, operations research, or a related field.
Senior executive experience leading data, analytics, and AI in a complex global organization with demonstrated operational and financial impact.
Strong experience applying AI and advanced analytics across manufacturing and supply chain domains, including planning, quality, engineering, external supply, and logistics.
Proven ability to move AI from concept to production at scale in regulated or operationally complex environments.
Track record of delivering measurable outcomes such as inventory reduction, yield improvement, throughput gains, service improvements, cost productivity, and supply resilience.
Strong understanding of modern data and AI platforms, cloud ecosystems, and industrial data architectures.
Proven ability to lead globally distributed, multi-cultural teams and operate effectively in a matrixed enterprise environment.
Experience driving operating model change and organizational transformation.
Ability to balance innovation with compliance in regulated environments.

Nice To Haves

Exposure to or strong interest in industrial AI, intelligent automation, robotics-enabled processes, digital twins, or cyber-physical systems within manufacturing or supply chain contexts.
Ability to partner effectively with OT, engineering, automation, and robotics experts, even if not a hands-on specialist in these areas.
Systems-level understanding of how data, AI, software platforms, and physical operations intersect in modern supply chains.

Responsibilities

Enterprise AI Strategy for Supply Chain 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.
Execution at Scale and Business Impact 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.
AI Products, Platforms & Physical Systems 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 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.
Forward-Deployed Execution Model 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.
Responsible and Compliant AI 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.
Operating Model Transformation 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.
Stakeholder Leadership and Influence 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.
Talent and Culture 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.
External Engagement and Thought Leadership Represent GSK externally as a leader in supply chain AI and smart manufacturing.
Engage with technology partners, startups, and research ecosystems across AI, industrial automation, and smart manufacturing to continuously scan emerging capabilities and selectively bring leading practices into GSK.