AI Product Owner

Our IT Team is hiring an AI Product Owner!

Office Hours: Mon-Fri 8am-5pm, no nights, no weekends. The Position is remote

• 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
  
  
  

Qualifications

• 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.
  
  

The Company is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, or any other status protected by federal, state, or local laws. The company is dedicated to the fulfillment of this policy in regard to all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination, and all other terms, conditions, and privileges of employment

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