Product Owner Provider Platforms & AI-Driven Product Delivery
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+14 more
Job description
We 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 Leadership
- Act 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 workflows
<>Product Strategy & Delivery
- Translate complex business processes into scalable digital products and engineering outcomes.
- Define product operating models aligned with 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 Engineering
- Leverage advanced AI tools for:
- Wireframing
- UI/UX ideation
- Workflow diagramming
- Product documentation
- Story generation
- Rapid prototyping
- Process simulation
- Backlog acceleration
- Utilize 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 Expertise
- Demonstrate 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 provenance
- Collaborate with Engineering and Architecture teams on:
- APIs and schema contracts
- Event-driven integrations
- Cloud events
- Data observability
- Traceability and OpenTelemetry (OTEL) concepts
<>Cross-Functional Collaboration
- Partner with:
- Engineering teams
- Solution Architects
- Provider Operations
- Claims teams
- Network Management
- Compliance
- Analytics and Reporting teams
- Facilitate stakeholder workshops, backlog grooming, sprint planning, and product demonstrations.
- Ensure alignment between business strategy and technology implementation.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Healthcare Administration, or a related field.
- 8+ years of experience in Product Ownership, Product Management, Business Architecture, or Provider Operations Technology.
- Extensive experience within healthcare payer/provider ecosystems.
- Strong expertise in:
- Provider Data Management
- Provider Contracting
- Network Creation and Optimization
- Claims and Member Workflows
- Credentialing Operations
- Strong understanding of Agile methodologies and modern product operating models.
- Experience working with distributed engineering teams and enterprise platforms., * Experience with healthcare platforms and payer 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., Healthcare Domain
- Provider Lifecycle Management
- Provider Data & Network Management
- Claims & Member Ecosystem
- Credentialing & Contracting
- Healthcare Operations
Product Management
- Agile / Scrum
- Product Discovery
- Roadmap Management
- User Story Writing
- Backlog Prioritization
- Process Re-engineering
Technical & AI
- AI-Powered Product Tooling
- Workflow Visualization
- Wireframing & Rapid Prototyping
- APIs & Schema Contracts
- Event-Driven Architecture
- Data Lineage & Observability
- Analytical and Systems Thinking
Leadership Competencies
- Systems thinker with strong operational acumen.
- Highly collaborative and execution-oriented.
- Ability to simplify complex provider workflows.
- Excellent communication and stakeholder management skills.
- Strong focus on automation, standardization, and measurable outcomes.
- Comfortable operating in ambiguous environments and driving transformation initiatives.
Success Metrics
- Reduction in provider onboarding and contracting cycle times.
- Improved provider data quality and accuracy.
- Increased product delivery velocity through AI-assisted workflows.
- Higher levels of automation with reduced operational touchpoints.
- Enhanced member and provider experience.
- Improved engineering productivity and backlog clarity.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
Navigating the AI Shift
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production