Product Strategy Lead; AI & Agentic Products

Job Summary

We are seeking a Product Strategy Lead to define and drive the vision, roadmap and delivery of the organization’s advanced healthcare data and analytics solutions. The role will serve as a thought leader in healthcare analytics, translating market needs into innovative, sustainable products that deliver measurable value for payers, providers and other stakeholders, and will help advance AI‑enabled capabilities and intuitive product experiences.

• Define and implement the product strategy and roadmap for the healthcare analytics portfolio.
• Align product development with market trends, customer needs and strategic priorities.
• Influence enterprise product vision by contributing insights on competitive positioning, emerging opportunities and customer pain points.
• Own the full product lifecycle: requirements definition, design, development, testing, launch and post‑launch optimization.
• Translate business and market needs into actionable product features and analytics solutions.
• Ensure product solutions are differentiated, value‑driven and aligned with customer outcomes.
• Apply deep healthcare data expertise (claims, payer/provider analytics, value‑based care) to enrich product offerings.
• Identify innovative methodologies and advanced analytics techniques to strengthen solutions.
• Champion adoption of modern product practices (agile, data‑driven roadmaps, customer co‑design).
• Partner with Finance, Sales and Marketing on pricing, positioning and go‑to‑market strategies.
• Lead customer engagements including training, advisory sessions, ROI analysis and industry forums.
• Build strong relationships with customers, internal stakeholders and industry thought leaders.
• Mentor product analysts and managers, fostering professional growth and building product leadership capabilities.
• Guide cross‑functional project teams including engineers, data scientists, designers and architects.
• Ensure adherence to SOC2, HIPAA and other compliance standards across product solutions.
• Promote responsible handling of sensitive healthcare data.

• Education:
  
  Bachelor’s degree in public health, life sciences, computer science or related field. Master’s preferred.
• Experience:
  
  10+ years in product management, owning roadmaps and delivering healthcare data products; extensive hands‑on experience with payer, provider and pharmacy analytics, including claims data; experience leading or supporting AI, machine learning, advanced analytics, data platform or agentic product capabilities; partnership with engineering, data science, compliance, security and business teams to evaluate product trade‑offs and support scalable deployment; experience working through a 0‑to‑1 or early‑growth phase.

• Experience with AI‑enabled analytics products, agentic AI platforms, natural language interfaces or products enabling non‑technical users to access, interpret or act on complex data.

• Strong knowledge of population health management, value‑based care programs and healthcare ecosystem trends.
• Ability to translate complex analytics and AI capabilities into clear product requirements, user workflows, adoption strategies and measurable customer outcomes.
• Track record of developing innovative, data‑driven solutions that deliver measurable customer and business outcomes.
• Proven ability to influence executives, customers and cross‑functional teams.
• Excellent communication and presentation skills with experience representing products in customer and industry settings.
• Familiarity with compliance frameworks (SOC2, HIPAA) and secure product practices.
• Working knowledge of modern AI concepts (generative AI, large language models, agents, retrieval, prompting, responsible AI practices) and the ability to apply these concepts to product strategy and decision‑making.
• Ability to assess AI‑enabled product opportunities through the lens of customer value, usability, reliability, data quality, security, compliance and measurable business impact.
• Strong ability to translate between technical teams, business leaders, product teams and end users to ensure AI‑enabled solutions are understandable, usable and aligned to customer outcomes.
• Familiarity with enterprise data ecosystems, analytics platforms and cloud‑based data environments such as AWS, Snowflake, Databricks or similar platforms.
• Promotion of responsible handling of sensitive healthcare data, including awareness of AI‑specific risks, data sensitivity considerations, transparency and appropriate human review.

Base salary range: $129,600 – $178,200. Additional compensation may be paid through annual bonus incentive plans. Benefits include paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, and a lifestyle spending account.