Sr. Product Analyst - Generative AI and Analytics Solutions
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary
CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, data science, AI (including generative AI), consulting approaches, product discipline and healthcare expertise to power innovative product applications to improve health outcomes and access to health care across all our businesses in CVS Health.As the Sr. Product Analyst of Generative AI and Analytics Solutions, you will collaborate with Data Science and Engineering leaders to support development, translate requirements, and design release plans. Working with UX/UI experts, you will ensure the best user experience and engage directly with users to understand their needs, address issues, and provide training. This role focuses on rapidly growing analytic products, including marketing analytics and generative AI solutions, offering significant career growth opportunities.What You Will Do:
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Product Strategy & Vision:
- Support development and communication of a clear product vision and roadmap for data products supporting Growth Analytics objectives
- Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
- Support key parts of the lifecycle of data products from ideation to scale to user support, ensuring continuous improvement and high user adoption.
- Define and prioritize the product backlog, create user stories / acceptance criteria, and support roadmaps.
- Write detailed product specifications and translate into technical requirements.
- Lead user training and engagement sessions
- Collaborate with business stakeholders, data scientists, data engineers, UI/UX designers, software engineers, analysts, and other stakeholders to develop and launch data-driven products
- Support business cases and ROI analysis
- Support OKRs and KPIs for generative AI and analytics products and track performance to ensure delivery of business value
Product Management:
- Experience in Product Management including full product lifecycle, roadmap and prioritization, understanding customer needs and translating them into compelling product features.
- Familiarity with Agile development practices and tools (e.g., Jira, Figma)
- Strong analytical and problem-solving skills. Ability to identify issues, craft solutions, and make data-driven decisions.
- Interest in emerging technologies and curiosity to uncover innovation and drive product enhancements that meet business / user needs.
- Understanding of business drivers and ability to translate them into product requirements.
- Excellent verbal and written communication. Ability to distill complex information in a clear and concise manner to technical, non-technical audiences.
- Comfortable collaborating closely with technical teams and navigating technical constraints.
- 2+ years' experience working cross-functionally with engineering teams
- 2+ years' experience in Product Management or Technical Product Management role
- 1+ year experience working in an Agile framework
- 1+ years product development with related project teams in analytics in enterprise level environments
- Experience building workflow applications that leverage GenAI
- Experience with Jira (or similar platform)
- Understanding of data science concepts
- Experience in healthcare, health insurance, tech, AI solutions or similar
- Bachelor's degree required, preferably in: Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field
- Master's degree or MBA preferred
40Time Type
Full timePay Range
The typical pay range for this role is:$86,520.00 - $173,040.00This 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.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 peopleWe 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- HSA
- HSA With Employer Contribution
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
Financial and Retirement
- 401(K) With Company Matching
Professional Development
- Tuition Reimbursement
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program