Sr Manager, Digital Product (IC)

CVS Health•Work At Home-Massachusetts, MA

3d•$130,295 - $260,590•Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The Senior Manager, Digital Product leads product management for AI-enabled health experiences, including digital assistant capabilities for Health100 — a first-of-its-kind, AI-native consumer engagement platform designed to meaningfully connect health information across the fragmented healthcare ecosystem and make it actionable. The H100 platform enables a uniquely patient-centric experience that leverages data, context, and intelligence to provide an always-on personal healthcare partner that helps consumers better understand their health and navigate care. You'll have the opportunity to help build, from the ground up, a connected and personalized healthcare product that bridges pharmacy, insurance, clinical, and health records data to the benefit of our users. You’ll set product vision and strategy, define measurable outcomes, and lead the discovery and delivery of AI-powered products in close partnership with engineering, design, data science, clinical, legal, compliance, and business stakeholders. You bring deep understanding of customer needs, healthcare nuances, and product execution, with the ability to translate amorphous opportunities into scalable, best-in-class digital experiences.

Requirements

7+ years of product management and/or digital experience in a digital environment that includes experience leading cross-functional digital product work across product, engineering, design, and data-focused teams.
Strong analytical and strategic thinking; able to synthesize customer insights, business goals, technical considerations, operational needs, and data into clear product direction.
7+ years of experience with the ability to define successful metrics before launch and use data, experimentation, and customer feedback to learn and adjust.
7+ years of stakeholder management experience with influencing skills; comfortable driving alignment across complex organizations and amorphous problem spaces.
7+ years of experience with translating complex technical, data, clinical, or operational concepts into clear product decisions, user experiences, and executive-level narratives.
5+ years of experience communicating with senior leaders, including presenting strategy, trade-offs, roadmap decisions, product outcomes, and risk mitigation.
5+ years of experience with the ability to thrive in ambiguity; strong prioritization and time management across multiple stakeholders.
Up to 10% of travel annually.
The ability to work east coast business hours.

Nice To Haves

Experience with AI-enabled products, digital assistants, personalization, recommendation engines, health intelligence platforms, agentic AI experiences, or data-driven customer experiences.
Experience in healthcare, digital health, clinical workflows, health data, interoperability, pharmacy, benefits, care navigation, or consumer health engagement.
Familiarity with responsible AI considerations, including quality, safety, explainability, transparency, privacy, security, and user trust.
Experience working 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; strong ownership and accountability.
Bias for action and 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 product vision, strategy, and roadmap for AI-enabled health assistant experiences within Health100, helping users understand their health, take action, and navigate care opportunities across providers, pharmacies, insurers, and other healthcare partners.
Identify high-value opportunities to apply AI, personalization, and intelligence to transform connected health data into actionable insights, proactive guidance, and care navigation support.
Translate complex customer needs, healthcare journeys, longitudinal health records, clinical context, and ecosystem data into clear product requirements, user experiences, and measurable product outcomes.
Partner closely 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 summarization, lab and diagnosis explanation, trend interpretation, medication understanding, symptom triage, prescription guidance, pre-appointment preparation, next-best actions, proactive coaching, and care navigation support.
Define success metrics tied to customer outcomes, engagement, product performance, quality, safety, trust, and business value; use data and feedback to learn and iterate.
Balance customer impact, clinical safety, responsible AI considerations, business priorities, technical feasibility, and speed to market when making product prioritization decisions.
Influence cross-functional partners and senior leaders to align on product direction, key trade-offs, ecosystem integrations, and technology choices, including build vs. buy decisions for AI-enabled capabilities and platform integration.
Communicate clearly in executive settings, including product strategy, roadmap, customer impact, risk mitigation, AI-related trade-offs, and progress against measurable outcomes.