VP of Product Management, Risk & Quality AI Solutions

Vatica Health

VP of Product Management focusing on AI-native Risk & Quality product suite for healthcare. Leading product strategy and delivery in a regulated environment with a focus on responsible AI.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesLead💰 $200,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI-native product portfolios within regulated healthcare environments, focusing on the development and operationalization of solutions that enhance client value and efficiency. Proven ability to lead cross-functional teams and implement rigorous evaluation frameworks to ensure compliance and performance monitoring.

Highest-signal resume keywords

AI Product ManagementNLP and LLM SolutionsRegulated Software DeliveryPerformance Monitoring FrameworksHealthcare Compliance Knowledge

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Applicant Tracking System Keywords

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Hard Skills

AI Development LifecycleData Pipeline DesignAPI DesignMeasurement MethodologiesChart AbstractionSummarization TechniquesCoding AssistancePrecision/Recall AnalysisFalse Positive/Negative AnalysisKPI Tracking

Soft Skills

Excellent Narrative CommunicationStakeholder InfluenceTeam MentoringCross-Functional CollaborationLeadership

Industry Keywords

Medicare AdvantageHCC CodingCMS Risk Adjustment ModelsRegulated Healthcare SolutionsAI-Native Solutions

About the role

Key responsibilities & impact

Own the annual roadmap for the Risk & Quality AI Solutions portfolio, aligning it to company priorities and to opportunities for new revenue, efficiency, and enhanced client value.
Partner with business stakeholders and the ML/AI team to identify and prioritize the highest-impact AI-native product bets across the combined Vatica and Cozeva product lines.
Design and deliver AI-native solutions that apply agents, OCR, NLP, and LLMs to automate clinical and operational workflows while maintaining the accuracy standards required in a regulated healthcare setting.
Own the AI solution lifecycle end to end — problem framing, build, evaluation, production monitoring, and retirement — in close partnership with Engineering and ML/AI.
Define and scale human-in-the-loop review for use cases such as chart abstraction, summarization, and coding assistance, balancing automation with clinical and compliance safeguards.
Establish evaluation and monitoring frameworks for LLM- and NLP-based workflows, using rigorous measurement methodologies (e.g., precision/recall, false positive/negative analysis) and continuous performance monitoring.
Define and track KPIs for each product and the broader portfolio, tying them directly to client impact and efficiency gains.
Govern AI-related costs and evaluate model and engineering effectiveness to ensure a sustainable, scalable solution suite.
Serve as a leader in responsible-AI policy and practice for the Risk & Quality portfolio, ensuring solutions are transparent, auditable, and compliant with applicable healthcare regulations. (Note: verify the specific frameworks and obligations that apply to your products with Compliance.)
Mentor a high-performing product management team; implement OKRs and drive consistent, predictable delivery.

Requirements

What you’ll need

10+ years in data- or AI-oriented product management, including a track record of building and launching Risk & Quality solutions powered by ML/AI.
Demonstrated success delivering mission-critical, regulated software products at scale, and experience building and leading product teams.
Proven experience operationalizing AI- or data-driven products in production, including evaluation and monitoring frameworks for LLM or NLP-based workflows.
Expertise in measurement and evaluation methodologies (precision/recall, false positives/negatives) and continuous performance monitoring.
Strong technical fluency — able to work closely with Engineering on system architecture, data pipelines, API design, and integration patterns.
Experience working within an AI development lifecycle (AI DLC) — from data and model development through evaluation, deployment, monitoring, and iteration.
Experience leading or operating in blended offshore/onshore teams, including managing delivery across time zones and distributed collaboration.
Experience working in cross-functional product/AI/engineering pods, with the ability to align product, data science, and engineering toward shared outcomes.
Working knowledge of Medicare Advantage, HCC coding, and CMS risk adjustment models, including the transition to the v28 model. (Confirm the exact model versions and phasing you require against current CMS guidance.)
Excellent narrative communicator, able to influence and align diverse stakeholders across product, engineering, clinical, and compliance.

Benefits

Comp & perks

Competitive salary based on your experience and skills – we believe the top talent deserves the top dollar
Bonus Potential (based on role and is discretionary) – if you go above and beyond, you should be rewarded
401k plans– we want to empower you to prepare for your future
Room for growth and advancement- we love our employees and want to develop within
Comprehensive Medical, Dental, and Vision insurance plans
Tax-free Dependent Care Account
Life insurance, short-term, and long-term disability
Excellent PTO policy (everyone deserves a vacation now and then)
Great work-life balance environment- We believe family comes first!
Strong supportive teams- There is always a helping hand when you need it