GSK
Director Product Management, Digital & Growth AI Tech
USA - Pennsylvania - Philadelphia +1 · Hybrid (Remote & On-site) · Director · Full-time · Posted Oct 26, 2026
- Location
- USA - Pennsylvania - Philadelphia
Durham Blackwell Street - Experience
- 10+ years in product management; at least 2 years shipping AI/ML-powered or generative-AI features into production.
- Education
- Bachelor's degree in computer science, engineering, quantitative, or life-sciences.
About the job
Leads product strategy and delivery for AI-driven commercial growth capabilities that improve HCP and patient outcomes across the pharmaceutical marketing funnel, with measurable brand impact and regulatory compliance.
What you'll do
- Own the AI growth roadmap, run pilots, and measure results using commercial outcomes such as prescriptions, market share, conversion, and patient starts.
- Partner with data science and engineering to put governed AI models and agents into production; oversee personalization and content capabilities.
- Establish responsible-AI and promotional governance, coordinate cross-functional stakeholders, and build a senior product and solutions team.
What they ask for
- Bachelor's degree in computer science, engineering, quantitative, or life-sciences.
- 10+ years in product management, including at least 2 years shipping AI/ML-powered or generative-AI features into production.
- Experience with LLM tooling such as prompt/agent design, RAG architectures, or fine-tuning, applied to content generation, personalization, or omnichannel orchestration.
- Experience with commercial growth mechanics and defining and evaluating AI success metrics in commercial terms.
Nice to have
- Advanced degree in computer science, engineering, quantitative, or life-sciences.
- Pharma, biotech, or healthcare background; experience in regulated environments is also preferred.
Tools
LLMs, RAG architectures, recommender systems, propensity/NBA models, CRM
AI focus
Leads generative and predictive AI for commercial growth, including AI agents, personalization, content generation, customer models, and model-to-production delivery, with governance for privacy, bias, and promotional compliance.
Model-written summary · the original posting is authoritative