AI Product Owner

Key Responsibilities

• Define and own the AI product vision, roadmap, and strategy aligned with healthcare business objectives.
• Partner with business, clinical, technology, and data teams to identify high-value AI and Generative AI use cases.
• Translate business requirements into clear product requirements, user stories, features, and acceptance criteria.
• Own and prioritize the product backlog based on business value, technical feasibility, risk, and customer impact.
• Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning, NLP, and intelligent automation.
• Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product development lifecycle.
• Support the development of AI agents, conversational AI, copilots, and workflow automation solutions.
• Identify opportunities to improve member experience, patient engagement, clinical workflows, healthcare operations, and employee productivity using AI.
• Define product KPIs and measure AI solution performance, adoption, accuracy, business value, and user experience.
• Facilitate product discovery sessions, stakeholder workshops, backlog refinement, sprint planning, and product demonstrations.
• Ensure AI solutions follow healthcare data privacy, security, and compliance requirements, including HIPAA and enterprise AI governance standards.
• Partner with Responsible AI, Legal, Compliance, Security, and Data Governance teams to manage AI-related risks.
• Support AI model evaluation, human-in-the-loop processes, feedback mechanisms, and continuous product improvement.
• Drive Proof of Concept (POC), Minimum Viable Product (MVP), pilot, and enterprise-scale AI product implementations.
• Manage cross-functional dependencies and communicate product status, risks, priorities, and roadmaps to leadership.
• Stay current with emerging AI technologies and identify opportunities to integrate new AI capabilities into healthcare products and platforms.

Required Qualifications

• 10+ years of experience in Product Management, Product Ownership, Business Analysis, or Digital Product Development.
• 3+ years of experience supporting AI, Machine Learning, Data, Automation, or Generative AI products.
• Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts.
• Experience defining product roadmaps, managing product backlogs, and writing detailed user stories and acceptance criteria.
• Strong experience working in Agile/Scrum environments.
• Experience collaborating with Data Science, AI/ML Engineering, Data Engineering, and Cloud teams.
• Strong stakeholder management and communication skills.
• Ability to translate complex AI and technical concepts into clear business outcomes.
• Experience with tools such as Jira, Confluence, Azure DevOps, or similar product management platforms.

Preferred Qualifications

• Experience within the healthcare, health insurance, provider, or managed care industry.
• Understanding of healthcare business processes, clinical workflows, member services, or healthcare operations.
• Knowledge of HIPAA, healthcare data privacy, AI governance, and Responsible AI principles.
• Experience with LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, or Conversational AI.
• Exposure to cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
• Experience launching enterprise AI products from POC through production implementation.
• Product Owner or Agile certifications such as CSPO, SAFe POPM, or PSPO are preferred.