VP of Product Management, Risk & Quality AI Solutions

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Vatica Health

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

🏥 Gesundheitswesen

⚕️ Krankenversicherung

☁️ SaaS

💰 €1.200.000 Venture Round im 2013-11

Healthcare • Healthcare Insurance • SaaS

Vatica Health ist ein Gesundheitsunternehmen, das fortschrittliche Lösungen für Risikoanpassung und Pflegequalität anbietet. Durch die Kombination von erfahrenen klinischen Teams mit modernster Technologie verbessert Vatica Health die finanzielle Leistung von Gesundheitsplänen und -anbietern, indem es genaue Diagnosecodes erfasst und Prüfungsrisiken reduziert. Das Modell des Unternehmens optimiert die Nutzung präventiver Dienstleistungen und die Patientenbindung durch Anbieter und unterstützt gleichzeitig Qualitätsprogramme während des Patientenkontakts. Mit nahtloser Integration in die Arbeitsabläufe der Anbieter konzentriert sich Vatica Health auf die Erhöhung der Kodierungsgenauigkeit, Compliance und Effizienz, was letztlich Gesundheitsplänen, Anbietern und Patienten zugutekommt. Ihre EMR-unabhängige Technologie und klinische Berater vor Ort gewährleisten eine verbesserte Bereitstellung von Pflege und Wellness-Ergebnissen, insbesondere durch Dienstleistungen wie jährliche Wellness-Besuche.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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