Principal Product Manager – Contract Intelligence & Ai-powered Reimbursement Solutions

Oracle Oracle · Enterprise · United States

The Principal Product Manager will lead product strategy, roadmap, and execution for Oracle Health's Contract Intelligence SaaS product portfolio. This role will drive the development of AI-powered capabilities that help healthcare providers understand, model, manage, and optimize the financial impact of payer contracts across the revenue lifecycle, transforming manual contract management workflows into scalable, intelligent, and predictive solutions.

What you'd actually do

  1. Define and execute product strategy, vision, roadmap, and investment priorities for Oracle Health's Contract Intelligence platform.
  2. Lead the transformation of traditional contract management workflows into AI-enabled solutions that deliver measurable financial and operational outcomes.
  3. Identify market opportunities, emerging trends, customer needs, regulatory changes, and competitive dynamics that shape product direction.
  4. Partner closely with customers, healthcare executives, managed care leaders, revenue cycle teams, and payer organizations to understand evolving contract management challenges.
  5. Translate complex reimbursement and contracting requirements into scalable SaaS product capabilities and differentiated market offerings.

Skills

Required

  • 8+ years of product management experience delivering enterprise SaaS, healthcare technology, or revenue cycle solutions.
  • Experience defining product strategy, developing roadmaps, writing requirements, and delivering complex products from concept through market adoption.
  • Deep understanding of healthcare payer-provider contracting, managed care operations, contract lifecycle management, reimbursement methodologies, or provider financial operations.
  • Experience working directly with healthcare providers, health systems, payer organizations, managed care teams, consulting firms, or healthcare technology vendors supporting contract management and reimbursement workflows.
  • Experience building or managing AI-enabled, analytics-driven, or data-intensive enterprise software products.
  • Strong understanding of healthcare reimbursement models and their impact on provider revenue performance.
  • Proven ability to influence cross-functional teams and executive stakeholders in highly matrixed organizations.
  • Strong analytical, strategic thinking, communication, and presentation skills.
  • Ability to operate independently, manage ambiguity, and drive alignment across multiple stakeholders.
  • Bachelor's degree in Business, Healthcare Administration, Finance, Economics, Computer Science, Engineering, or related field, or equivalent experience.

Nice to have

  • Direct experience with healthcare contract management, contract modeling, contract analytics, managed care contracting, or reimbursement optimization solutions.
  • Experience working for a healthcare provider organization, integrated delivery network (IDN), health system, payer, managed care organization, revenue cycle vendor, or healthcare consulting firm.
  • Experience with provider reimbursement methodologies including DRGs, APCs, fee schedules, value-based care arrangements, capitation, bundled payments, and risk-based contracts.
  • Experience building AI-powered enterprise applications leveraging generative AI, machine learning, intelligent agents, large language models (LLMs), or predictive analytics.
  • Familiarity with healthcare financial systems, revenue cycle management platforms, claims adjudication, payment integrity, contract analytics, or reimbursement optimization tools.
  • Experience with cloud-native platforms, enterprise-scale SaaS architectures, and data platforms.
  • Knowledge of healthcare interoperability standards and data exchange frameworks including FHIR, HL7, APIs, and EDI/X12.
  • Familiarity with healthcare privacy, security, and compliance requirements including HIPAA.
  • MBA, Master's degree, or equivalent advanced experience.

What the JD emphasized

  • AI-powered capabilities
  • generative AI
  • machine learning
  • intelligent agents
  • advanced analytics
  • AI-enabled solutions
  • contract management

Other signals

  • AI-powered capabilities
  • generative AI
  • machine learning
  • intelligent agents
  • advanced analytics
  • AI-enabled solutions