Sr. Product Manager Digital Health AI

CVS Health•Work At Home-Massachusetts, MA

1d•$130,295 - $260,590

About The Position

The Senior Manager, Digital Product leads product management for AI-enabled health experiences, including digital assistant capabilities for Health100, an AI-native consumer engagement platform designed to connect health information across the fragmented healthcare ecosystem and make it actionable. The platform aims to provide a patient-centric experience using data, context, and intelligence, with Haio serving as the AI conversational assistant for the end-to-end experience. The role will help build a connected, personalized healthcare product spanning pharmacy, insurance, clinical, and health records data. The product leader sets vision and strategy, defines measurable outcomes, and leads discovery and delivery of AI-powered products in partnership with engineering, design, data science, clinical, legal, compliance, and business stakeholders. The position calls for product management experience in AI, including healthcare LLM conversational workflows, and the ability to turn ambiguous opportunities into scalable digital experiences.

Requirements

7+ years of product management experience in a digital environment, leading cross-functional work across product, engineering, design, and data-focused teams.
1–2 years of experience shipping user-facing AI-enabled or LLM products in healthcare in a product role.
7+ years of experience defining success metrics before launch and using data, experimentation, and customer feedback to inform product direction.
7+ years of experience in healthcare, digital health, clinical workflows, health data, interoperability, pharmacy, benefits, care navigation, or consumer health engagement.
7+ years of stakeholder management experience and the ability to influence and drive alignment across complex organizations and ambiguous problem spaces.
7+ years of experience translating complex technical, data, clinical, or operational concepts into product decisions, user experiences, and executive-level narratives.
7+ years of experience communicating with senior leaders, including presenting strategy, trade-offs, roadmap decisions, product outcomes, and risk mitigation.
Ability to work East Coast business hours.
Bachelor’s degree or equivalent work experience.

Nice To Haves

Familiarity with responsible AI considerations, including quality, safety, explainability, transparency, privacy, security, and user trust.
Experience with platforms or ecosystems that aggregate data across multiple sources, connections, or partners to generate user-facing insights.
Experience building products that help users interpret complex information, prepare for care interactions, understand next steps, or navigate multi-step journeys.
Highly organized and detail-oriented, with strong ownership and accountability.
Bias for action and an entrepreneurial mindset; comfortable with risk-taking, rapid iteration, and learning through experimentation.
Strong persuasion skills grounded in clear, data-driven reasoning.
Passion for creating transformative user experiences grounded in direct customer engagement.

Responsibilities

Own the vision, strategy, and roadmap for Haio AI-enabled health assistant experiences within Health100.
Identify opportunities to use AI, personalization, and intelligence to turn connected health data into actionable insights, proactive guidance, and care navigation support.
Translate customer needs, healthcare journeys, longitudinal health records, clinical context, and ecosystem data into product requirements, user experiences, and measurable outcomes.
Partner with engineering, design, data science, clinical, legal, compliance, privacy, security, and business teams to define, test, and deliver safe, trustworthy AI-enabled capabilities.
Lead discovery and experimentation for assistant-driven experiences, including health record summaries, lab and diagnosis explanations, trend interpretation, medication understanding, symptom triage, prescription guidance, appointment preparation, coaching, and care navigation.
Define success metrics for customer outcomes, engagement, product performance, quality, safety, trust, and business value; use data and feedback to iterate.
Balance customer impact, clinical safety, responsible AI, business priorities, technical feasibility, and speed to market in product prioritization.
Influence cross-functional partners and senior leaders on product direction, trade-offs, ecosystem integrations, and technology choices, including build-versus-buy decisions and platform integration.
Communicate product strategy, roadmap, customer impact, risk mitigation, AI-related trade-offs, and progress against measurable outcomes in executive settings.