Senior Product Manager

Senior Product Owner/Product Manager – Provider Platforms & AI-Driven Product DeliveryWe are seeking a highly strategic and execution-oriented Product Owner with deep expertise in the healthcare provider domain to lead next-generation digital product initiatives across Provider Operations, Contracting, Network Management, Credentialing, Claims, and Member interactions.This role is designed for a modern IT organization operating in an AI-first engineering environment. The ideal candidate combines strong provider business knowledge with exceptional product management capabilities, data fluency, process thinking, and advanced usage of AI tools for rapid ideation, prototyping, workflow visualization, and product design acceleration.The Product Owner will partner closely with Engineering, Architecture, Operations, Data, and Business stakeholders to build scalable, event-driven, observable, and AI-enabled provider platforms.Provider Domain LeadershipAct as the primary product lead for provider-centric platforms and workflows.Own product vision, roadmap, backlog, prioritization, and execution for provider-related initiatives.Drive modernization of provider lifecycle capabilities including: Provider onboarding, Credentialing & recredentialing, Provider data management Contracting & fee schedules, Network creation and hierarchy management, TIN/NPI relationships, Affiliation and participation management, Directory accuracy and compliance, Claims integration and adjudication touchpoints, Member-provider interaction workflowsProduct Strategy & DeliveryTranslate complex business processes into scalable digital products and engineering outcomes.Define product operating models aligned to agile delivery and value stream principles.Create detailed user stories, acceptance criteria, process flows, and product specifications.Prioritize work based on business value, operational impact, risk reduction, and customer experience.Drive continuous improvement using product analytics, operational metrics, and user feedback.AI-Driven Product EngineeringLeverage advanced AI tools for: Wireframing, UI/UX ideation, Workflow diagramming, Product documentation, Story generation, Rapid prototyping, Process simulation, Backlog acceleration, Use modern tools such as: Lucidchart / Miro, Figma AI, ChatGPT / Claude / Gemini, AI coding copilots, Workflow orchestration and visualization tools, Champion AI-native product delivery practices across teams.Provider Data & Platform ExpertisePossess deep understanding of provider data models and relationships including: NPI/TIN structures, Parent-child hierarchies, Contract entities, Locations and specialties, Network participation, Affiliation structures, Roster ingestion and validation, Data lineage and provenanceWork closely with engineering and architecture teams on: APIs and schema contracts, Event-driven integrations, Cloud events, Data observability, Traceability and OTEL conceptsCross-Functional CollaborationCollaborate with: Engineering teams, Architects, Provider operations, Claims teams, Network management, Compliance, Analytics and reporting teamsFacilitate alignment between business strategy and technology implementation.Lead stakeholder workshops, backlog grooming, sprint planning, and product demos.Required QualificationsBachelor’s degree in Computer Science, Information Systems, Healthcare Administration, or related field.8+ years of experience in Product Ownership, Product Management, Business Architecture, or Provider Operations technology.Extensive experience in healthcare payer/provider ecosystems.Strong expertise in: Provider data management, Provider contracting, Network creation and optimization, Claims and member workflows, Credentialing operationsStrong understanding of agile methodologies and modern product operating models.Experience working with distributed engineering teams and enterprise platforms.Preferred QualificationsExperience with healthcare platforms and ecosystems.Familiarity with: FHIR, HL7, Provider directory standards, Event-driven architecture, Graph-based relationship modeling, Data lineage frameworks, Exposure to observability frameworks and telemetry concepts.Experience with AI-assisted product development and AI-native delivery practices.