CVS Health is building a world of health around every individual, and they are seeking a Senior Manager, Digital Product to lead product management for AI-enabled health experiences. This role involves setting product vision and strategy, collaborating with cross-functional teams, and delivering innovative digital health solutions that enhance patient care.
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
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. Plus, 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
- 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