Drimva

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

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)