Enterprise AI Product Lead for Lab Automation

Glaxosmithkline; Upper Providence (Delaware County); Ibrido; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

GlaxoSmithKline is seeking a senior AI strategy lead to identify high-value opportunities across pharmaceutical R&D and commercialization. You will quantify value, frame AI problems, and co-lead lab automation roadmaps with science and engineering teams.

You will partner with FDE and full-stack leads, shaping engagements end-to-end, and communicating impact to VP-level sponsors. The role is hybrid and based in the United States, offering opportunities to scale AI initiatives responsibly.

Competenze

• 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, artificial intelligence/machine learning (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: R&D, clinical, manufacturing, or commercial.
• Experience applying AI/ML technologies such as 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.

Mansioni

• 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.

Conoscenze

AI strategy

Product management

Roadmap development

Stakeholder management

Data analysis

Regulatory awareness

Formazione

Bachelor's degree or equivalent in technology or related field

Master's or PhD in technology, CS, or related field

Descrizione del lavoro

GlaxoSmithKline is seeking a senior AI strategy lead to identify high-value opportunities across pharmaceutical R&D and commercialization. You will quantify value, frame AI problems, and co-lead lab automation roadmaps with science and engineering teams.

You will partner with FDE and full-stack leads, shaping engagements end-to-end, and communicating impact to VP-level sponsors. The role is hybrid and based in the United States, offering opportunities to scale AI initiatives responsibly.