Description
GSK's Enterprise AI team exists to translate the promise of AI into measurable impact across every major group at GSK. You will act as the strategic compass for driving a portfolio of AI solutions that transform how GSK runs its technology and R&D portfolios.
Responsibilities:
- Hunt for high-value AI opportunities across the portfolio management and value-realization lifecycle
- Quantify value rigorously by building business cases that hold up with finance and executive sponsors
- Develop domain pattern recognition in portfolio management workflows
- Own the Enterprise AI opportunity portfolio
- Make hard trade-off calls
- Say no, with evidence, to opportunities that look attractive but won't move scalable outcomes
- Be the strategic counterpart to the forward deployed, full-stack, and data engineering leads
- Shape engagements end-to-end
- Surface re-use and platform leverage
- Design the human-digital split
- Redesign the portfolio operating model around automation
- Build a reusable skills library
- Instrument real-time portfolio insight
- Operate fluently with senior business and scientific leaders
- Build sponsor coalitions
- Communicate impact clearly
- Define how we keep score
- Run honest post-mortems
- Continuously sharpen the investment thesis
Basic Qualifications:
- 15 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 executive funding and into delivery
- Direct involvement in running or building systems for technology or R&D portfolio management
- Hands-on work with modern AI/ML concepts
- Prior responsibility for operating as an individual contributor without direct reports and influencing engineering and business teams
- Background in product management or product strategy
- Track record of designing and shipping digital workers and agentic systems
- Prior responsibility for designing shared libraries of agent skills, prompts, templates, and connectors
- Direct involvement in operating model design
- Working knowledge of instrumenting delivery and value data
Preferred Qualifications:
- Prior experience in forward deployed engineering, applied AI, or AI lab/COE role at a pharma, healthcare, or comparable regulated enterprise
- Background in management consulting, value engineering, or corporate strategy with hands-on technology experience
- Experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments
- Experience codifying product management and user research practices into AI-native tools