# Senior Individual Contributor, Enterprise AI **Company**: GSK **Experience**: senior **Job type**: full-time **Salary**: $195,525 to $325,875 **Category**: Product Management **Industry**: Healthcare **Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Philadelphia/Principal--Senior-Director---Commercial-Enterprise-AI-Product-Mgmt---E2E-Marketing-Enablement_449603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_2c13dab7-a61 ## 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 marketing enablement across the globe. Responsibilities: - Hunt for high-value AI opportunities across the end-to-end marketing enablement 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 end-to-end marketing enablement workflows so you can spot AI-shaped problems the business itself hasn't yet articulated. - Own the Enterprise AI opportunity portfolio, maintaining a living view of in-flight, queued, and de-prioritized opportunities, with the rationale for each decision. - 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. - Say no, with evidence, to opportunities that look attractive but won't move scalable outcomes, protecting engineering focus. - 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, then staying close as engineers execute. - Surface re-use and platform leverage, spotting when a one-off solution should become a reusable capability and working with engineering to make that case. - Design the human-digital split, deciding which tasks the pod's digital workers own, where engineers and business users stay in the loop, and how evaluation and oversight make that safe. - 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, in language that connects AI work back to patients, science, and shareholder outcomes. - 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, and where it doesn't. 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 pharma marketing enablement, including at least one of: brief development, global-to-local content adaptation, content supply chain, MLR review, channel activation, or performance measurement. - Hands-on work with modern AI/ML concepts , including LLMs, agentic systems, and digital workers, the ML lifecycle, and data and evaluation patterns , demonstrated through prototyping. - Prior responsibility for operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria. - Background in product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment. - Prior responsibility for coordinating creative asset development and content submission workflows, including MLR readiness, to enable deployment across channels. - Track record of translating omnichannel strategy into execution briefs for content and channel delivery teams. - Direct involvement in partnering with internal MLR review processes and external agency or production partners on digital program delivery. - Working knowledge of content lifecycle traceability processes that link derivative content to its approved source. 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 with marketing technology platforms used in content and channel operations, such as Veeva Vault PromoMats/MedComms, Adobe Experience Manager or Workfront, Salesforce Marketing Cloud, MLR review platforms, or omnichannel engagement/analytics tools. ## 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 - AI lab/COE role - Management consulting - Value engineering - Corporate strategy - GxP - Regulatory - Data-governance requirements - Marketing technology platforms --- 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---E2E-Marketing-Enablement_449603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)