• Define and articulate the vision, strategy, and roadmap for your portfolio of digital health insurance products. • Work closely with architecture, design, content, engineering, legal, compliance, and analytics teams to develop and launch high-quality digital products. • Advocate for the user by integrating customer feedback, usability testing, and market research into product development. • Analyze performance metrics and user data to identify trends, inform product decisions, and optimize product features. • Communicate product vision and updates to stakeholders, including executive leadership. • Roll up your sleeves and guide teams to resolve business, design, and engineering problems quickly and efficiently. • Lead agile epic and feature development and refinement processes, including PI planning, backlog management, and prioritization of features. • Stay informed about industry trends, competitive landscape, and emerging technologies for your subject areas.

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. Position Summary CVS Health is seeking an experienced, highly motivated AI Senior Manager Digital Product to join our Aetna Digital Product team. In this role, you will drive the strategy, development, and execution of innovative AI digital products that enhance and simplify the healthcare experience for our members. You will collaborate with cross-functional teams, leveraging data-driven insights to create AI solutions that align with our mission to deliver superior and connected experiences, lower the cost of care, and improve the health and well-being of those we serve. The ideal candidate has a proven track record of managing and delivering complex AI products, a deep understanding of AI, and experience working closely with engineering, product, and stakeholders. Key responsibilities - Product Strategy: Define and articulate the vision, strategy, and roadmap for your portfolio of digital health insurance products. Align your product goals with organizational objectives and customer needs - Cross-Functional Collaboration: Work closely with architecture, design, content, engineering, legal, compliance, and analytics teams to develop and launch high-quality digital products. Create, optimize, and implement processes for working together more efficiently - User-Centric Design: Advocate for the user by integrating customer feedback, usability testing, and market research into product development. Ensure products meet the needs of diverse user groups and accessibility standards - Data-Driven Decision Making: Analyze performance metrics and user data to identify trends, inform product decisions, and optimize product features. Utilize analytics tools to track KPIs and measure success - Stakeholder Management: Communicate product vision and updates to stakeholders, including executive leadership. Manage expectations and solicit feedback to ensure alignment across the organization - Problem Resolution: Roll up your sleeves and guide teams to resolve business, design, and engineering problems quickly and efficiently. - Agile Methodology: Lead agile epic and feature development and refinement processes, including PI planning, backlog management, and prioritization of features - Market Awareness: Stay informed about industry trends, competitive landscape, and emerging technologies for your subject areas. Leverage insights to identify opportunities for innovation and differentiation Required Qualifications - 7+ years of product management experience, preferably in healthcare or digital products - 3+ years experience leading and delivering complex AI products incorporating artificial intelligence, machine learning, and large language models - 5+ years of experience incorporating artificial intelligence, machine learning, and large language models into digital products to accelerate the development process or improve member experiences​ - Proven track record of launching successful digital solutions Preferred Qualifications - Experience creating consumer-facing digital products for iOS, Android, and web - Strong understanding and intuition for product management principles and methodologies - Proficiency in data analysis tools and user research methods, with exceptional written and verbal communication skills - Ability to present complex information clearly and concisely to diverse audiences - Demonstrated ability to lead cross-functional teams and influence stakeholders at all levels: Strong project management skills with a focus on delivering results - Passion for Healthcare: A genuine interest in improving healthcare access and outcomes through technology Education - Bachelor’s degree or equivalent experience (Highschool diploma plus 4 years relevant work experience) Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 05/01/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Role Description We are seeking a motivated undergraduate co-op student to serve as a AI Strategy Research Assistant supporting the Head of AI & Data Solutions. This role is designed for a student eager to learn the fundamentals of Business Strategy within the tech industry. Your mission is to assist in gathering market intelligence and data that will inform our execution plan for Fiscal Year 2027 (FY27). You will support the team in investigating the global AI landscape and compiling comparative data on various AI tools and vendors. Co-op term: May 2026 to August 2026 full-time hours Success in this role is defined by providing high-quality research support across four core strategic pillars for FY27: - Internal Efficiencies: Researching how Agentic workflows and LLM integration can transform operational velocity. - Revenue Generation: Identifying and modeling new AI-driven monetization strategies, premium features, and data-as-a-service opportunities. - New Areas of Opportunity (External): Scouting "blue-ocean" markets where our unique data and AI capabilities can disrupt existing industries. - Technical & Tooling Groundwork: Assessing the global vendor and open-source landscape to ensure our underlying AI infrastructure is future-proofed and cost-optimized. Key Responsibilities: - Market Research: Perform secondary research on AI trends, competitor product features, and emerging industry benchmarks. - Data Analysis: Assist in organizing data and updating financial models to help calculate potential ROI for new projects. - Landscape Mapping: Identify and catalog AI vendors and open-source tools that align with our strategic goals. - Reporting Support: Assist in drafting summaries and creating visualizations for internal strategy presentations. Qualifications - Current MBA Candidate: Enrolled in an MBA program. Backgrounds in Engineering, CS, or Data Science prior to your MBA are highly valued but not required. - Strategic Mindset: You can bridge the gap between technical capability and business value. You speak the language of "Value Drivers" and "Competitive Moats." - AI Literacy: You have a strong grasp of the current AI landscape (LLMs, RAG, Agentic AI, Vector Databases) and can navigate technical discussions without being a coder. - Exceptional Communicator: You possess the ability to distill complex technical research into high-impact, executive-level slide decks and narratives. - Independent Operator: You are comfortable with ambiguity and have the discipline to drive four major research projects to completion with minimal supervision. What Success Looks Like By the end of this 4-month co-op, you will have gained hands-on experience in corporate strategy. Your success is measured by the accuracy of your research and the quality of the supporting materials you provide for our FY27 strategic planning. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Build internal tools, connectors, and AI agents that automate critical Media and Operations workflows; • Design RAG (Retrieval-Augmented Generation) systems and automations ensuring data security and privacy; • Rapidly convert business pain points into testable interfaces to validate value before scaling; • Connect siloed tools via APIs to create unified workflows; • Act as a technical reference, demonstrating that complex problems can be solved with software and AI.