VP, Global Supply Chain Data & AI

GSK; City of Westminster; On-site; GBP 120,000 - 150,000; Full time

Job summary

A leading healthcare company in the UK is seeking a Vice President for Global Supply Chain Data & AI. This role involves defining AI strategies, building a global team, and driving AI solutions across manufacturing and logistics to improve efficiency and patient outcomes. The ideal candidate will have senior executive experience, a strong background in AI and analytics, and an advanced degree in a technical field. This position offers an opportunity to shape how AI transforms supply chains globally.

Qualifications

• Senior executive experience with operational impact in a complex organization.
• Experience leading AI and analytics initiatives in manufacturing and supply chain.
• Proven ability to implement AI solutions at scale.

Responsibilities

• Define and own the Global Supply Chain Data & AI strategy.
• Lead the delivery of AI solutions across manufacturing and logistics.
• Build and inspire a global team of AI and analytics professionals.

Skills

AI application

Data analytics

Leadership

Supply chain management

Education

Advanced degree in a quantitative or technical discipline

Job description

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.

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.

Qualifications

• 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.

Emerging & Adjacent Capabilities (Desired)

• 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.

Operating Model & Leadership Capabilities (Required)

• 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.

This role is ideal for a leader who combines strong AI foundations with curiosity about how emerging technologies are reshaping physical supply chains - and who thrives at translating innovation into safe, scalable, real‑world impact.

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.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.