Senior Principal Product Manager - Life Sciences/AI Agents

Are you passionate about transforming healthcare and life sciences through data, AI, and intelligent platforms? Oracle Health Data Intelligence is building the next-generation Life Sciences Intelligence Suite — a unified, AI-powered platform that helps pharmaceutical and healthcare organizations drive better outcomes through data-driven decisions, trial optimization, and real-world evidence.
We are seeking a Senior Principal Product Manager who thrives at the intersection of life sciences, AI, and cloud technology. In this role, you will shape and drive a modern, agentic SaaS platform that brings together today’s fragmented clinical, safety, and commercial applications into a cohesive, high-value intelligence ecosystem.
This is a high-impact individual contributor role for a senior product leader who wants to own strategy, influence executive direction, and build platforms that redefine how life sciences organizations operate.
 

About the role

As a Senior Principal Product Manager, you will own the product vision, strategy, and execution for a complex, cross-domain product portfolio spanning:
 

• Clinical trials and pharmacovigilance (safety)
• Digital health to improve patient experiences and outcomes
• Commercial enablement and market access insights
• AI-driven analytics and agent-based applications
• Regulatory, privacy, and compliance across the product lifecycle

You will work cross-functionally with engineering, data science, design, regulatory, and go-to-market teams to deliver a seamless experience across pharma-facing tools, provider-facing workflows, analytics platforms, and data infrastructure.
This role is deeply strategic and customer-facing, requiring strong product judgment, executive presence, and real-world understanding of how life sciences organizations bring therapies to market.
 

Career Level - IC5

Key Responsibilities

• Own the product strategy for Oracle’s Life Sciences Intelligence Suite, aligning long-term vision with real customer needs across clinical, safety, and commercial domains.
• Drive AI-first product development, leading the evolution from form-based legacy workflows to intelligent, agentic applications that surface insights and automate decision-making.
• Champion end-to-end trial workflows with pharma and health systems — from molecule portfolio planning and trial design to site selection, patient monitoring, safety reporting, and post-trial commercialization.
• Shape platform architecture and experience, ensuring seamless integration between pharma sponsors, provider sites, and analytics teams.
• Partner deeply with engineering, data science, and cloud infrastructure teams to translate advanced AI capabilities into trusted, scalable products.
• Serve as a senior product voice with customers, engaging executive stakeholders to understand scientific, regulatory, and operational priorities that guide roadmap decisions.
• Influence go-to-market strategy, working with sales, marketing, and business development to drive adoption, growth, and market leadership.
• Operate as a principal-level IC, setting the bar for product excellence, mentoring other PMs through influence (not hierarchy), and shaping product culture across HDI.

 

Ideal Candidate Profile 

• 10+ years of product management experience in life sciences, healthcare technology, or enterprise SaaS.
• Proven success leading platform-level strategies that unify complex, siloed systems.
• Deep understanding of digital health, clinical trial operations, pharmacovigilance, and real-world data ecosystems.
• Strong foundation in AI, analytics, and agent-based systems, with practical understanding of healthcare data flows and architectures.
• Experience working in highly regulated environments, including privacy, security, and compliance frameworks.
• Builder mindset — focused on solving real problems and enabling developers, scientists, and clinicians to extend the platform.
• Deep personal motivation to improve patient outcomes and reimagine how life sciences innovation happens.

 

Preferred Knowledge Areas 

• Agentic AI and autonomous workflow design
• Digital health to drive better patient outcomes
• Trial optimization and clinical operations platforms
• Real-world data, outcomes research, and evidence generation
• SaaS product development in regulated industries
• Health equity and population health integration into life sciences strategy

Disclaimer:

Certain US customer or client-facing roles may be required to comply