# Enterprise AI Senior Individual Contributor

**Company**: GSK
**Experience**: senior
**Job type**: full-time
**Salary**: $195,525 to $325,875
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Philadelphia/Principal--Senior-Director---Commercial-Enterprise-AI-Product-Mgmt---Knowledge-Foundation-and-Insights-Acceleration_449604?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0b180b41-6cd

## 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 end-to-end insights acceleration across the globe.

Responsibilities:

- Hunt for high-value AI opportunities across the insight's acceleration lifecycle

- Quantify value rigorously by building business cases that hold up with finance and executive sponsors

- Develop domain pattern recognition in how market, competitive, and HCP/patient data is organized and made usable for insights generation in compliant, secure ways

- 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, running the analysis, and recommending where engineers go when business units compete for the same resources

- 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 before kick-off

- 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, 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 across deployments

- 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

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

- Hands-on work with the data foundations used in pharma market research and competitive intelligence

- Track record of building or specifying knowledge graphs and conversational or agentic AI interfaces that deliver insights directly to business decisionmakers

- Hands-on work with modern AI/ML concepts, including LLMs, agentic systems, and digital workers

- History of operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com

## 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 a 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 with data foundation and knowledge platforms used in pharma insights

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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---Commercial-Enterprise-AI-Product-Mgmt---Knowledge-Foundation-and-Insights-Acceleration_449604?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)