Principal Technical Product Manager, AI Health Cloud

Overview

About the Role

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.