VP, Global Supply Chain Data – AI
GSK
full-time
Posted on:
Location Type: Office
Location: Upper Providence • Pennsylvania • United States
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Job Level
Tech Stack
About the role
- 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.
- 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.
- Own the supply chain AI product portfolio built on GSK’s enterprise data and AI platforms.
- Establish and scale a forward-deployed AI delivery model that embeds technical and product talent directly into supply chain value streams.
- Ensure all AI solutions adhere to GxP, data privacy, security, and Responsible AI standards.
- Drive the evolution from project-based delivery to product-centric, agile operating models across Global Supply Chain Data & AI.
- Build, lead, and inspire a globally distributed team of data scientists, AI engineers, product leaders, and analytics professionals.
- Represent GSK externally as a leader in supply chain AI and smart manufacturing.
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.
- 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.
- 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.
Benefits
- Comprehensive benefits program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceartificial intelligenceadvanced analyticsintelligent automationindustrial AIdigital analyticssupply chain managementoperations researchcloud ecosystemsdata architecture
Soft Skills
leadershipteam buildingstrategic thinkingcommunicationcollaborationoperational impactorganizational transformationinnovationproblem-solvingcross-cultural teamwork