GSK
Senior Manager, Product Management – Field Intelligence
USA - Pennsylvania - Philadelphia +1 · Hybrid (Remote & On-site) · Manager · Full-time · Posted Oct 21, 2026
- Location
- USA - Pennsylvania - Philadelphia
Durham Blackwell Street - Experience
- 8+ years in Technology Product Management, Data & Analytics Products, Commercial Technology, AI-enabled products, Enterprise Applications, or related disciplines.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a closely related technical discipline.
About the job
Leads the strategy, architecture, delivery, and lifecycle of GSK’s US Commercial Field Intelligence platform, turning commercial data into analytics, recommendations, and AI-powered experiences for field users.
What you'll do
- Own the platform roadmap and product lifecycle across data, analytics, AI services, integrations, and user experiences.
- Lead development and operation of reporting, conversational analytics, recommendations, and AI capabilities; manage performance, reliability, and cost.
- Coordinate cross-functional teams and vendors, prioritize delivery, manage budgets, and drive adoption and value realization.
What they ask for
- Bachelor’s degree in a relevant technical discipline.
- 8+ years of experience in Technology Product Management, Data & Analytics Products, Commercial Technology, AI-enabled products, Enterprise Applications, or related disciplines.
- Experience managing enterprise technology products from strategy and architecture through delivery, operations, adoption, and lifecycle management.
- Technical experience with modern data platforms and architectures, analytics-ready data products and semantic models, plus AI/ML product development or contribution.
Nice to have
- Experience in pharmaceutical, biotechnology, healthcare, or life sciences; or field reporting and AI-powered commercial capabilities.
- Experience with ThoughtSpot, Tableau, Databricks, Snowflake, Veeva Vault CRM, or comparable technologies.
Tools
ThoughtSpot, Tableau, Databricks, Snowflake, Veeva Vault CRM, SQL, Python
AI focus
Lead development and integration of AI, generative AI, conversational analytics, recommendations, and agentic capabilities for field users, with reusable patterns and responsible AI controls.
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