VP of Product Management, Risk & Quality AI Solutions

Job Title: VP of Product Management, Risk & Quality AI Solutions
Location: Remote
Employment Type: Contract – Hire
The Role:
We are seeking a VP of Product Management, Risk & Quality AI Solutions to own the roadmap and delivery of our client's Risk & Quality AI product suite. The client's platform unites clinician-enabled risk adjustment and clinical documentation with population-health and quality analytics, and is building an AI-native approach to improve risk adjustment accuracy, close quality gaps, and reduce clinician workload. In this role, you will lead product strategy, operationalize AI/ML workflows in regulated healthcare, and drive responsible-AI governance. The role does not include ownership of the underlying data platform and reports to the SVP, Product Management & AI.
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.
Must Have’ Experience:
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.
‘Nice to Have’ Experience:
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.

Work arrangement
Yes