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 advance field force effectiveness across the globe.
Responsibilities:
- Hunt for high-value AI opportunities across the field force effectiveness lifecycle and develop a global portfolio of AI products ranked by impact, feasibility, and time-to-value.
- Quantify value rigorously by building business cases that hold up with finance and executive sponsors.
- Develop domain pattern recognition in field force operations workflows to spot AI-shaped problems.
- Own the Enterprise AI opportunity portfolio, making hard trade-off calls and recommending where engineers go.
- Be the strategic counterpart to the forward deployed, full-stack, and data engineering leads, translating ambiguous business problems into crisp problem statements.
- Shape engagements end-to-end, defining scope, success criteria, exit conditions, and scaling pathways.
- Surface re-use and platform leverage, spotting when a one-off solution should become a reusable capability.
- Design the human-digital split, deciding which tasks the pod's digital workers own.
- Operate fluently with senior business and scientific leaders, running executive conversations that turn fuzzy ambitions into concrete AI engagements.
- Build sponsor coalitions, securing the air cover, data access, and change-management commitment that engineering deployments require to succeed.
- Communicate impact clearly, telling the value story to ELT and the board.
- Define how we keep score, establishing the value-realization framework Enterprise AI uses to measure impact.
- Run honest post-mortems, capturing what worked and what didn't.
- Continuously sharpen the investment thesis on where AI most belongs at GSK.
Requirements:
- 15+ years of professional experience across pharma/life sciences, AI/ML product strategy, and product management or strategy roles.
- Experience taking at least one technology or AI initiative from problem framing through executive funding and into delivery.
- Prior responsibility with pharma field force operations, including rep coaching and enablement, omnichannel orchestration, or field analytics.
- Track record with modern AI/ML concepts, including LLMs, agentic systems, and digital workers.
- Experience operating as an individual contributor without direct reports, influencing engineering and business teams.
- Experience in product management or product strategy, including opportunity sizing, roadmap development, and stakeholder alignment.
Preferred Qualifications:
- Prior experience in a forward deployed engineering, applied AI, or AI lab/COE role.
- 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.
Salary: $195,525 - $325,875 per year (Cambridge, MA; Waltham, MA; Rockville, MD; San Francisco, CA) or $177,750 - $296,250 per year (other US locations)
Benefits: health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.