Description
GSK's Enterprise AI team exists to translate the promise of AI into measurable impact across every major group at GSK. You will own a major slice of our Global Functions portfolio , across HR, Legal, Compliance, Procurement, Finance, and Corporate Communications , act as the strategic counterpart to the engineers and digital workers in your pod, and set the forward deployed strategy they execute against.
Responsibilities:
- Hunt for high-value AI opportunities across Global Functions and develop a structured pipeline of AI products ranked by impact, feasibility, and time-to-value.
- Quantify value rigorously by building business cases that survive finance and senior business unit scrutiny.
- Develop domain pattern recognition in functional workflows to spot AI-shaped problems the business itself hasn't yet articulated.
- Shape the opportunity portfolio in your domain, maintaining a living view of in-flight, queued, and de-prioritized opportunities.
- Make trade-off recommendations, defining success metrics, running the analysis, and recommending where engineers go when business sponsors compete for the same resources.
- Push back, with evidence, on opportunities that won't move scalable outcomes, protecting engineering focus.
- Be the strategic counterpart to the forward deployed, full-stack, and data engineering leads in your domain, translating ambiguous business problems into crisp problem statements, prototypes, success metrics, and decision frameworks engineers can build against.
- Shape engagements end-to-end, defining scope, success criteria, exit conditions, and scaling pathways before kick-off, then staying close as engineers execute.
- Surface re-use and platform leverage, spotting when a one-off solution should become a reusable capability and working with engineering to make that case.
- Design the human-digital split, deciding which tasks the pod's digital workers own.
- Design AI that is deployable in functional work, building SOX and financial controls, legal privilege and confidentiality, employee data privacy and works council requirements, anti-bribery and third-party due diligence, disclosure obligations, and EU AI Act high-risk requirements into every solution.
- Operate fluently with VP-level business and functional leaders, running conversations that turn fuzzy ambitions into concrete, fundable AI engagements.
- Build sponsor coalitions, securing the data access, change-management commitment, and air cover your engagements require to succeed.
- Communicate impact clearly, in language that connects AI work back to patients, science, and enterprise outcomes.
- Apply the value-realization framework, using Enterprise AI's framework to measure every engagement in your domain and improving it with what you learn.
- Run honest post-mortems, capturing what worked, what didn't, and feeding those learnings back into how your domain selects opportunities and designs engagements.
Requirements:
- 10 or more years of professional experience across some combination of pharma/life sciences, AI/ML product strategy, and product management or strategy roles in technology-led organizations.
- Track record of taking at least one technology or AI initiative from problem framing through funding and into delivery.
- Direct involvement in, or close partnership with, at least one Global Function , Legal & Compliance, HR, Finance, Corporate Communications, or Procurement , including its core end-to-end processes.
- Hands-on work with modern AI/ML concepts , including LLMs, agentic systems, and digital workers, the ML lifecycle, and data and evaluation patterns , demonstrated through prototyping.
- Prior responsibility for operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria.
- Background in product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment.
- Working knowledge of the enterprise systems and data behind Global Functions, such as SAP, Workday, Ariba or Coupa, contract lifecycle management (CLM) tools, and case management or knowledge tools.
- Track record of identifying AI value in high-volume, knowledge-intensive work.
- Working knowledge of the control and regulatory constraints on AI in functional work.
- Direct involvement in partnering with senior functional leaders to turn transformation priorities into funded, measurable AI programs.
Benefits:
- Health care and other insurance benefits (for employee and family)
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave