VP, Global Supply Chain Data – AI
GSK
full-time
Posted on:
Location Type: Office
Location: Upper Providence • Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Cloud
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
data scienceartificial intelligenceadvanced analyticsintelligent automationindustrial AIdigital analyticssupply chain managementoperations researchcloud ecosystemsdata architecture
Soft skills
leadershipteam buildingstrategic thinkingcommunicationcollaborationoperational impactorganizational transformationinnovationproblem-solvingcross-cultural teamwork