Drimva

GSK

Senior AI Product Manager- Patient Services, CRM, Portals and Apps

Durham Blackwell Street · Hybrid (Remote & On-site) · Manager · Full-time · Posted Oct 22, 2026

Experience
8+ years in specified healthcare environments; 3+ years developing, implementing, or supporting digital solutions for patient services, healthcare providers, or patient engagement programs.
Education
Bachelor's degree in business, computer science, data science, public health, life sciences, or a related field.

About the job

Leads strategy and end-to-end delivery of AI and digital products across patient services CRM, portals, and apps, targeting measurable improvements in patient and provider experience and operational outcomes.

What you'll do

  • Prioritize patient-services problems and investments; develop product roadmaps and business cases, and make build, buy, or partner recommendations.
  • Lead cross-functional teams through product design, evaluation, production deployment, governance, performance monitoring, and continuous improvement.
  • Drive adoption and ensure data readiness, privacy, security, compliance, and responsible AI practices.

What they ask for

  • Bachelor's degree in a related field.
  • 8+ years of experience in life sciences, specialty pharmacy, hub services, telehealth, digital health, or related healthcare environments, creating and implementing digital solutions for patient services teams or healthcare providers.
  • 3+ years of experience developing, implementing, or supporting digital solutions for patient services teams, healthcare providers, or patient engagement programs.
  • Experience with Salesforce Health Cloud, Salesforce Life Sciences Cloud, or a comparable CRM platform.

Nice to have

  • Advanced degree (MBA, MSc, MPH, PhD) in a relevant discipline.
  • Hands-on experience building and operating agentic AI or LLM-based workflows in production.

Tools

Salesforce Health Cloud, Salesforce Life Sciences Cloud, Agile/Scrum, Azure AI, Google Cloud, AWS, HIPAA, GDPR

AI focus

Identifies, builds, deploys, governs, and monitors AI, agentic technology, and digital products for patient services; preferred experience includes production LLM workflows, human-in-the-loop systems, and prompt engineering.

Model-written summary · the original posting is authoritative

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