AI Product Owner
Panoramic Health
United States
3 months ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Health Informatics
Decision Support Systems
EHealth
Machine Learning
Software Product Management
Core Voice Platform
Large Language Models
Usage Tracking
Information Technology
Job description
- This position is perfect for someone who understands where AI and Automation can improve both workflow and financial yield.
The AI Product Owner will lead the identification, evaluation, and implementation of artificial intelligence solutions across clinical operations and revenue cycle management (RCM). This role sits at the intersection of healthcare operations, product management, and applied AI, translating real-world clinical and financial workflows into scalable, high-impact AI products.
Responsibilities include:
- Partner with clinical, RCM, operations, IT, and compliance leaders to identify high-value AI use cases across care delivery and revenue cycle workflows.
- Evaluate opportunities such as (but not limited to): documentation support, ambient/voice AI, call center automation, eligibility and prior auth support, coding and charge capture, denial prevention, and patient access optimization
- Develop business cases, success metrics, and ROI models for AI initiatives
- Serve as product owner for AI initiatives from concept through implementation and optimization
- Define product vision, requirements, and roadmaps aligned to Panoramic Health’s operational and clinical goals
- Translate operational workflows into clear functional requirements and user stories for internal teams and vendors
- Prioritize backlog based on value, feasibility, risk, and organizational readiness
- Lead pilot design, rollout planning, and scaling of AI solutions across practices
- Coordinate with data, engineering, security, compliance, and vendor partners to ensure safe, compliant deployment
- Partner with operational leaders on change management, training, and adoption strategies
- Monitor post-implementation performance and continuously optimize models and workflows
- Ensure AI solutions align with HIPAA, regulatory, and organizational governance standards
- Participate in or help establish AI governance frameworks, including model oversight, transparency, and risk management
- Collaborate with compliance and legal teams on vendor due diligence and data usage
- Perform other duties and responsibilities as required, assigned, or requested
Requirements
- Bachelor’s degree in Information Technology or similar required
- 3+ years of experience in healthcare operations, product management, consulting, or digital health
- Demonstrated experience leading or supporting technology or AI-enabled initiatives in healthcare
- Proven ability to translate complex workflows into clear product requirements
- Excellent stakeholder management, facilitation, and communication skills
- Strong understanding of clinical workflows and/or revenue cycle management (e.g., scheduling, coding, billing, collections, prior auth, patient access)
- Working knowledge of AI concepts such as:
- Machine learning vs. rules-based automation
- NLP, LLMs, and generative AI
- RPA and decision support toolsProven ability to translate complex workflows into clear product requirements
- Healthcare informatics certifications (e.g., CPHIMS) preferred
- Product Management certifications (e.g., CSPO) preferred
- AI / data science coursework or certifications perferred.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
PP
Prashant Pujara
about 4 years ago
LM
Luis Minvielle
How to Become an AI Engineer
over 2 years ago
BR
Benjamin Ruschin
Navigating the AI Shift
11 months ago
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
almost 2 years ago
BB
Benedikt Bischof
MLOps – What’s the deal behind it?
almost 4 years ago
EF
Elizabeth Fuentes Leone, AWS Developer Advocate, GenAI
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
9 months ago