# Senior Individual Contributor - Enterprise AI

**Company**: GSK
**Experience**: senior
**Job type**: full-time
**Salary**: $177,750 to $296,250 per year
**Category**: Product Management
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Philadelphia/Principal--Senior-Director---AI-Product-Management--Global-Financial-Services---Procurement-_450187?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_04c2b699-00a

## 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
- AI Platforms
- Change Management
- Data Analysis
- Feature Prioritization
- Machine Learning Model Management
- ML Platforms
- Model Evaluation
- Performance Analysis
- Product Delivery
- Product Design
- Product Lifecycle Management (PLM)
- Product Roadmapping
- Roadmap Development
- Statistical Analysis
- User Needs Analysis

### 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.

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Philadelphia/Principal--Senior-Director---AI-Product-Management--Global-Financial-Services---Procurement-_450187?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)