Principal Technical Product Manager, AI Health Cloud

As the Principal Technical Product Manager for the AI Health Cloud, you will define and lead the strategy, architecture, and delivery of AI-powered healthcare platforms and analytics experiences. With 15+ years of experience driving complex technical products and enterprise-scale programs, you will shape platform capabilities, influence architectural direction, and drive high-impact execution across engineering, AI/ML, data, clinical, pharmacy, and provider teams. Your leadership will accelerate AI adoption across payer, provider, and pharmacy workflows, improving quality, compliance, clinical performance, and operational efficiency. Responsibilities Product Strategy & Vision • Define and evangelize the multi-year product vision for AI-driven healthcare analytics, workflow automation, and decision support across payer, provider, and pharmacy domains. • Develop strategic roadmaps aligned with enterprise priorities, CMS/NCQA requirements, and multi-stakeholder needs. • Identify emerging opportunities in generative AI, LLMs, agent-based systems, and workflow orchestration. Technical Leadership • Provide senior-level technical direction for engineering, AI/ML, and architecture teams in building scalable cloud-native AI platforms. • Lead strategies for integrating multi-source healthcare data from providers (EHR/EMR, clinical documentation, FHIR), payers (claims, eligibility), and pharmacy systems (Rx claims, medication histories, formulary data). • Influence platform decisions around Azure cloud infrastructure, performance, scalability, and Responsible AI standards. Requirements, Execution & Delivery • Own end-to-end product requirements across clinical workflows, pharmacy operations, provider processes, AI/ML use cases, and regulatory domains. • Translate complex user needs into detailed user stories, specifications, and acceptance criteria. • Drive Agile execution at scale, ensuring high-quality delivery and predictable roadmap progression. Quality, Compliance & Responsible AI • Ensure product capabilities comply with CMS, NCQA, HIPAA, and internal Responsible AI policies. • Partner with compliance, clinical, and pharmacy leaders to support audit readiness, regulatory initiatives, and model governance. • Track emerging federal and state regulatory changes affecting provider, pharmacy, and payer workflows. AI Insights, Analytics & Value Realization • Champion the development of AI-driven insights, predictive analytics, care coordination recommendations, utilization insights, pharmacy adherence models, and workflow automation features. • Ensure outputs are explainable, actionable, and embedded into provider, pharmacy, and payer workflows. • Drive customer adoption and measurable business/clinical outcomes. Stakeholder & Partner Leadership • Serve as the principal product owner and primary liaison for engineering, clinical, pharmacy, and external provider partners. • Lead customer advisory boards and strategic partner engagements across payer, provider, and pharmacy sectors. • Build trusted relationships with executives and operational leaders. Qualifications Required Qualifications • 15+ years in technical product management, AI/ML platforms, cloud data products, or large-scale healthcare technology initiatives. • Strong experience with provider, pharmacy, and payer domains; familiarity with clinical, operational, or pharmacy workflows. • Expertise in healthcare data standards including HL7, FHIR, C-CDA, claims data, medication data formats, and pharmacy system integrations. • Proven success influencing cross-functional teams to deliver enterprise-grade AI or platform solutions. • Exceptional communication skills and ability to influence executive stakeholders. Preferred Qualifications • Experience with Azure, AI/ML tooling, and modern MLOps frameworks. • Knowledge of LLMs, model evaluation, agent frameworks, and AI governance. • Experience with provider analytics, pharmacy performance programs, Stars/HEDIS measures, and care management workflows. • Familiarity with BI and analytics tools (Power BI, Databricks AI/BI). Success Metrics • AI capability adoption across provider, payer, and pharmacy workflows. • Clear ROI and measurable improvements in quality, operations, clinical performance, or pharmacy outcomes. • High platform reliability, scalability, and user satisfaction. • Predictable, high-quality product delivery and roadmap execution.