VP of Product Management, Risk & Quality AI Solutions
New
V
Vatica HealthHealth Tech, AI
United StatesFull-TimeVp
Salary$200,000 to $235,000 (annualized USD)
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Job Details
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementNLPLLM
Requirements
- 10+ years in data- or AI-oriented product management, including launching Risk & Quality solutions powered by ML/AI.
- Demonstrated success delivering mission-critical, regulated software products at scale.
- Proven experience operationalizing AI/data-driven products in production, including evaluation frameworks for LLM/NLP workflows.
- Expertise in measurement methodologies (precision/recall, false positives/negatives) and continuous performance monitoring.
- Strong technical fluency to collaborate with engineering on architecture, data pipelines, API design, and integration patterns.
- Experience working within an AI development lifecycle (AI DLC) from data development through to deployment and monitoring.
- Experience leading offshore/onshore teams across multiple time zones.
- Experience working in cross-functional product/AI/engineering pods to align diverse stakeholders.
- Working knowledge of Medicare Advantage, HCC coding, and CMS risk adjustment models.
- Excellent narrative communicator able to influence product, engineering, clinical, and compliance stakeholders.
Responsibilities
- Own the annual roadmap for the Risk & Quality AI Solutions portfolio, aligning it to company priorities and revenue opportunities.
- Identify and prioritize high-impact AI-native product bets across Vatica and Cozeva product lines.
- Design and deliver AI-native solutions using agents, OCR, NLP, and LLMs to automate clinical workflows.
- Manage the end-to-end AI solution lifecycle including problem framing, evaluation, production monitoring, and iteration.
- Establish rigorous evaluation frameworks for LLM/NLP workflows using precision, recall, and false positive/negative analysis.
- Define and track KPIs tied to client impact and efficiency gains.
- Govern AI-related costs and ensure model effectiveness for a scalable solution suite.
- Serve as a leader in responsible AI policy, ensuring solutions are transparent, auditable, and compliant with healthcare regulations.
- Mentor a high-performing product management team and implement OKRs to drive delivery.
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