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From the employer's careers site First seen 3 Nov 2026

Senior Individual Contributor - Enterprise AI

GSK senior full-time

Salary

$177,750 to $296,250 per year

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Description

Through continuous innovation and a dedicated focus on scientific and technical excellence, GSK strives to develop and launch new, groundbreaking treatments that address critical health challenges.

As a Senior Individual Contributor on GSK's Enterprise AI team, you will act as the strategic compass for driving a portfolio of AI solutions that transform Global Financial Services and Procurement across the globe.

Responsibilities:

  • Hunt for high-value AI opportunities across Global Financial Services and Procurement, 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 source-to-pay and financial operations workflows.
  • Own the Enterprise AI opportunity portfolio, maintaining a living view of in-flight, queued, and de-prioritized opportunities.
  • Make hard trade-off calls, building the framework, defining success metrics, 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, prototypes, success metrics, and decision frameworks engineers can build against.
  • 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.
  • Design AI that strengthens controls, building SOX and financial controls into every solution.
  • Operate fluently with senior finance and procurement leaders, running executive conversations that turn transformation priorities into concrete, fundable 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, what didn't, and feeding those learnings back into opportunity selection and engagement design.
  • Continuously sharpen the investment thesis on where AI most belongs at GSK.

Requirements:

  • 15 or more years of professional experience across 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 source-to-pay or financial operations.
  • Hands-on work with modern AI/ML concepts, including LLMs, agentic systems, and digital workers.
  • Prior responsibility for operating as an individual contributor without direct reports.
  • Background in product management or product strategy, including opportunity sizing, roadmap development, and stakeholder alignment.
  • Working knowledge of the systems and data behind spend and transactions.
  • Track record of identifying AI value in high-volume transactional and commercial work.
  • Working knowledge of financial control and compliance requirements.
  • Direct involvement in partnering with senior finance and procurement leadership.

Benefits:

  • Health care and other insurance benefits for employee and family.
  • Retirement benefits.
  • Paid holidays.
  • Vacation.
  • Paid caregiver/parental and medical leave.

Salary:

  • For US locations: $177,750 to $296,250 per year.
  • For Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA: $195,525 to $325,875 per year.

Skills

Required

Nice to have

  • 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.
Apply on GSK