Principal Product Manager

Oracle Health is seeking an experienced Principal Product Manager to shape the future of Health Data Intelligence Population Health applications. This senior individual contributor will define product strategy, lead roadmap development, and drive execution for enterprise application workflows that help healthcare organizations improve population health and manage clinical risk.

Responsibilities:

• Define and communicate a clear product vision and multi-year strategy for Population Health application capabilities, with an initial focus on value-based contracts, care management, and related provider and payer workflows
• Translate healthcare market dynamics, customer needs, regulatory requirements, clinical workflows, reimbursement models, and technology trends into differentiated product opportunities
• Evaluate opportunities across population health, value-based care, clinical quality, risk adjustment, utilization, care coordination, contract performance, and healthcare analytics
• Develop business cases and investment recommendations based on customer value, market opportunity, strategic alignment, implementation complexity, and expected business impact
• Maintain a strong understanding of the competitive landscape and use market evidence to inform product positioning and prioritization
• Represent the product vision with senior leaders, customers, industry stakeholders, and internal teams
• Own and continuously refine a prioritized product roadmap that balances strategic initiatives, customer commitments, platform investments, regulatory needs, technical dependencies, and operational improvements
• Lead the product lifecycle from discovery and concept validation through requirements, design, development, launch, adoption, measurement, and ongoing optimization
• Convert complex clinical, payer, administrative, and analytical workflows into clear product requirements, user stories, acceptance criteria, workflow models, and measurable outcomes
• Partner with engineering and design to make informed tradeoffs related to scope, usability, architecture, performance, data availability, security, and delivery timing
• Ensure product decisions are grounded in evidence, including customer research, workflow observation, product telemetry, market analysis, implementation feedback, and outcome data
• Identify product, data, clinical, regulatory, and operational risks early and establish mitigation plans with cross-functional partners
• Maintain accountability for product quality, usability, scalability, and readiness across the full customer experience
• Develop a deep understanding of the workflows, incentives, and constraints affecting providers, payers, care teams, administrators, and risk-bearing organizations
• Design capabilities that support key population health and value-based care use cases, including: Value-based contract configuration and performance management, Patient attribution and population definition, Risk stratification and patient segmentation, Care-gap identification and closure, Care-management enrollment, assessment, planning, and intervention, Clinical and non-clinical task management, Quality-measure monitoring and improvement, Utilization and cost-of-care analysis, Risk adjustment and documentation improvement, Financial and clinical performance forecasting, Contract reconciliation and opportunity analysis, Provider, care-team, and network performance
• Ensure product workflows reflect real-world clinical operations and support efficient, coordinated work across physicians, nurses, care managers, pharmacists, social workers, analysts, administrators, and payer teams
• Incorporate payer perspectives into product strategy, including benefit design, reimbursement, claims, authorization, quality programs, network relationships, and government program requirements
• Partner with clinical informatics, compliance, security, and legal stakeholders to appropriately address patient safety, privacy, explainability, regulatory obligations, and responsible use of AI
• Define product requirements for solutions that combine clinical, claims, pharmacy, laboratory, financial, operational, consumer, and social determinants of health data
• Partner with data and engineering teams to establish clear requirements for data quality, lineage, timeliness, normalization, identity resolution, attribution, and interoperability
• Use analytics to help customers identify performance drivers, prioritize interventions, monitor outcomes, and take action within operational workflows
• Identify opportunities to apply predictive analytics, generative AI, and AI-assisted workflows in ways that are useful, explainable, safe, and aligned with healthcare users’ needs
• Ensure AI-enabled capabilities include appropriate human oversight, transparency, workflow integration, and mechanisms for measuring effectiveness
• Define product success metrics that connect feature adoption and workflow efficiency to clinical, financial, operational, and customer outcomes
• Build trusted relationships with health systems, medical groups, accountable care organizations, clinically integrated networks, health plans, government healthcare organizations, and other industry partners
• Lead customer discovery through interviews, advisory groups, workflow observations, design reviews, pilot programs, and structured feedback sessions
• Engage directly with clinical, operational, financial, technical, and executive stakeholders to understand their goals and translate them into scalable product solutions
• Distinguish broadly applicable market needs from customer-specific requests and communicate prioritization decisions clearly
• Support strategic customer engagements, executive briefings, product demonstrations, conferences, and industry forums
• Serve as a credible healthcare product leader who can communicate effectively with clinicians, payer executives, administrators, technologists, and business leaders
• Lead through influence across engineering, design, data science, clinical informatics, implementation, support, sales, marketing, and other product teams
• Establish shared goals, decision frameworks, product requirements, and success measures across distributed teams
• Coordinate dependencies across Health Data Intelligence applications, data platforms, analytics services, interoperability capabilities, and Oracle Health solutions
• Partner with implementation and customer success teams to improve deployment, configuration, training, adoption, and time to value
• Enable sales and go-to-market teams with clear product positioning, target use cases, demonstrations, competitive insights, and customer value narratives
• Provide product guidance during escalations and use customer issues to identify opportunities for systemic product improvement
• Mentor other product managers and contribute to stronger product management practices across the organization

Requirements:

• Significant experience in product management, healthcare technology, healthcare operations, clinical informatics, payer operations, healthcare consulting, or a related field
• Demonstrated success defining, building, launching, and scaling complex enterprise software products
• Meaningful experience in the healthcare industry, with direct exposure to both: Clinical or provider environments, such as health systems, physician groups, ambulatory care, care management, clinical operations, or clinical informatics; and Payer or risk-management environments, such as health plans, managed care, accountable care organizations, value-based contracting, population health, or provider-sponsored plans
• Strong understanding of population health and value-based care concepts, including attribution, quality measurement, risk stratification, care management, utilization, total cost of care, and contract performance
• Ability to translate complex healthcare workflows, policies, data relationships, and stakeholder needs into clear product strategy and detailed product requirements
• Experience managing products that use large, complex, or highly regulated datasets
• Strong analytical skills and the ability to use qualitative and quantitative evidence to make product decisions
• Experience partnering effectively with engineering, design, data, clinical, implementation, and commercial teams
• Excellent written and verbal communication skills, including the ability to explain complex topics to clinical, technical, operational, and executive audiences
• Demonstrated ability to lead through influence, navigate ambiguity, resolve competing priorities, and make thoughtful product tradeoffs
• Understanding of healthcare privacy, security, data governance, and regulatory considerations
• U.S. citizenship, due to the requirements associated with supporting certain federal healthcare customers
• Direct experience working for or closely with a health plan, managed care organization, provider-sponsored plan, accountable care organization, clinically integrated network, or risk-bearing provider organization
• Clinical education, licensure, or substantial hands-on clinical experience, such as nursing, medicine, pharmacy, social work, therapy, care management, or clinical informatics. Active licensure is not required unless separately specified
• Experience with Medicare, Medicaid, Medicare Advantage, commercial value-based care, federal healthcare, or other government-sponsored programs
• Experience with payer and provider workflows such as: Value-based contract modeling and administration, Care and case management, Quality improvement and care-gap closure, Risk adjustment, Utilization management, Prior authorization, Claims and encounter data, Provider network and performance management, Clinical documentation improvement, Financial reconciliation
• Familiarity with healthcare quality and payment programs, such as HEDIS, Stars, CMS quality programs, accountable care models, bundled payments, shared-savings arrangements, and downside-risk contracts
• Experience working with electronic health record, claims, pharmacy, laboratory, financial, and social determinants of health data
• Familiarity with healthcare interoperability standards and terminology, including FHIR, HL7, APIs, clinical terminologies, and common healthcare data models
• Experience designing analytics, decision-support, predictive modeling, or AI-assisted healthcare applications
• Experience delivering configurable, multi-tenant enterprise software for large and operationally complex customers
• Experience supporting public-sector or federal healthcare customers
• Advanced degree in business, public health, health administration, clinical informatics, medicine, nursing, pharmacy, engineering, computer science, or a related discipline