AI Product Manager: Enterprise AI & Lab Automation

Glaxosmithkline; Philadelphia (Philadelphia County); Hybrid; USD 160,000 - 260,000; Full time

Job summary

GSK in the United States seeks a senior AI product strategy leader to identify high-value AI opportunities, shape end-to-end engagements, and align stakeholders from FDE to executive sponsors.

You will translate complex R&D and manufacturing challenges into actionable pilots, build business cases, and drive platform-level reuse across the enterprise. This role emphasizes collaboration, problem framing, and measurable outcomes in patients and science.

Qualifications

• Bachelor's degree or equivalent experience in technology, computer science, product management, or a related field.
• 10+ years of experience across pharmaceutical or life sciences, AI/ML product strategy, or senior product management or strategy roles in technology-led organizations.
• Experience leading technology or AI initiatives from problem framing through funding and into delivery.
• Experience working in at least one area of the pharmaceutical value chain: research and development (R&D), clinical, manufacturing, or commercial.
• Experience applying AI/ML technologies such as large language models (LLMs), agentic systems, knowledge graphs, or data engineering.
• Experience building business cases and sizing value for R&D initiatives.
• Experience in product management or product strategy, including opportunity sizing, roadmap development, and prototyping.
• Experience with modeling, digital twins, self-driving labs, or physical AI initiatives in pharmaceutical R&D or process development, including defining pilots and evaluating results with scientists.
• Experience defining a vision and roadmap for self-driving labs and lab automation in partnership with scientists and automation teams.
• Experience partnering with data analytics, data science, or process science teams on modeling, optimization, and simulation.
• Experience working as a senior individual contributor, leading through influence rather than direct reports.

Responsibilities

• Find high-value AI opportunities in your domain and rank them by impact, feasibility, and time-to-value.
• Quantify value rigorously with business cases that withstand finance and senior leadership scrutiny.
• Spot AI-shaped problems in workflows before the business has articulated them.
• Co-lead the self-driving labs redesign, defining the 2033 vision and roadmap for lab automation with FDE pods and automation teams.
• Drive 10x in silico modeling by co-leading the digital twin agenda with an end-to-end platform mindset.
• Accelerate molecule onboarding by defining platform fitness and tracking progress toward halving development time.
• Shape your domain's portfolio, keeping a living view of in-flight, queued, and de-prioritized opportunities.
• Make trade-off recommendations when sponsors compete for FDE pods, backed by clear metrics and analysis.
• Protect engineering focus by pushing back, with evidence, on low-impact opportunities.
• Partner with FDE and full-stack leads, turning ambiguous problems into clear problem statements, prototypes, and success metrics.
• Shape engagements end-to-end: scope, success criteria, exit conditions, and scaling paths.
• Drive reuse by turning one-off solutions into platform capabilities.
• Engage VP-level leaders to turn ambitions into concrete, fundable AI engagements.
• Build sponsor coalitions that secure data access, change commitment, and air cover.
• Communicate impact in terms of patients, science, and enterprise outcomes.
• Apply the value-realization framework to every engagement and refine it as you learn.
• Run honest post-mortems and feed lessons into opportunity selection.

Skills

AI Platforms

Data Analysis

Model Evaluation

Roadmap Development

Product Delivery

Machine Learning

Education

Bachelor's degree

Master's or PhD in tech/CS

Job description

GSK in the United States seeks a senior AI product strategy leader to identify high-value AI opportunities, shape end-to-end engagements, and align stakeholders from FDE to executive sponsors.

You will translate complex R&D and manufacturing challenges into actionable pilots, build business cases, and drive platform-level reuse across the enterprise. This role emphasizes collaboration, problem framing, and measurable outcomes in patients and science.