VP of Product Management, Risk & Quality AI Solutions

Kodeva LLC is seeking a VP of Product Management, Risk & Quality AI Solutions to lead the roadmap and delivery of a Risk & Quality AI product suite. The role focuses on product strategy, AI/ML workflows in regulated healthcare, responsible-AI governance, portfolio metrics, and delivery across distributed teams.

Responsibilities:

• Own the annual roadmap and portfolio strategy, aligned to company priorities and revenue opportunities
• Partner with business and ML/AI teams to identify and prioritize high-impact product bets. - Design solutions that use agents, OCR, NLP, and LLMs to automate clinical workflows
• Manage the end-to-end AI lifecycle with Engineering and ML/AI teams. - Define and scale human-in-the-loop review processes
• Establish evaluation frameworks and monitoring (for example, precision and recall). - Define portfolio KPIs tied to client impact and revenue
• Govern AI costs. - Lead responsible-AI policy and governance, covering transparency, auditability, and regulatory compliance
• Mentor the product team
• Implement OKRs and drive consistent delivery across distributed teams

Requirements:

• Bachelor's degree
• 10+ years of data- or AI-focused product management experience, including ML/AI-powered Risk & Quality solutions
• Track record of delivering mission-critical, regulated software at scale
• Experience operationalizing AI or data products in production, with evaluation frameworks
• Strong technical fluency with Engineering: system architecture, data pipelines, APIs, and integration patterns
• Familiarity with Medicare Advantage, HCC coding, and CMS risk adjustment models
• Experience managing offshore/onshore blended teams
• Working knowledge of the AI development lifecycle
• Excellent stakeholder communication and alignment skills
• Hands-on experience integrating frontier AI models (such as OpenAI GPT or Anthropic Claude)
• Experience designing LLM systems for chart abstraction or coding
• Familiarity with LLM evaluation tools and human-in-the-loop systems
• Clinical data interoperability knowledge (FHIR, HL7, C-CDA)
• Data governance and PHI security experience (SOC 2, HITRUST, HIPAA)
• Experience scaling SaaS in payer and provider ecosystems
• MBA, MPH, or an advanced technical degree