Lead Principal Product Manager

Oracle is building the next-generation Life Sciences Intelligence Suite, a unified, AI-powered platform for healthcare organizations. The Senior Principal Product Manager will shape the product vision and strategy, driving the integration of clinical and commercial applications to enhance patient outcomes.

Responsibilities:

• Own the product strategy for Oracle’s Life Sciences Intelligence Suite, aligning long-term vision with real customer needs across post-market, safety and evidence generation domains
• Drive AI-first 0-1 product development, leading the evolution from form-based legacy workflows to intelligent, agentic applications that surface insights and drive actions
• Champion end-to-end post-market workflows with pharma, health systems and payers — from market intelligence, safety actions, 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

Requirements:

• 10+ years of product management experience in healthcare and life sciences, healthcare technology, agentic AI and enterprise SaaS
• Proven success leading platform-level strategies that unify complex, siloed systems
• Deep understanding of one or more of these areas - digital health, clinical trial operations, pharmacovigilance, and real-world data ecosystems
• Strong foundation in AI 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
• 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