Product Manager Analyst at CVS Health in Remote

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.

We are seeking a Product Manager Analyst to join our ML Digital Experience & Digital Workplace team. In this role, you will serve as a critical bridge between business stakeholders, engineering teams, and data science groups to drive the strategy, development, and optimization of machine learning–powered products that enhance the digital workplace experience. You will leverage data-driven insights, user research, and market analysis to shape product roadmaps and deliver solutions that improve productivity, engagement, and operational efficiency across the organization.

Key Responsibilities

Product Strategy & Roadmap

• Collaborate with senior product managers and leadership to define and maintain the product roadmap for ML-driven digital experience and digital workplace solutions.
• Translate business objectives and user needs into clear product requirements, user stories, and acceptance criteria.
• Prioritize features and enhancements using data-driven frameworks, balancing business value, technical feasibility, and user impact.

Data Analysis & Insights

• Analyze product performance metrics, user behavior, and telemetry data to identify trends, opportunities, and areas for improvement.
• Build and maintain dashboards and reports to track KPIs, adoption rates, and overall product health.
• Conduct competitive analysis and market research to inform product positioning and feature development.

Machine Learning & AI Product Support

• Partner with data science and ML engineering teams to define model requirements, success metrics, and deployment strategies.
• Monitor ML model performance and user feedback to recommend iterative improvements and new use cases.
• Stay current on emerging trends in AI/ML, digital workplace technologies, and employee experience platforms.

Stakeholder Engagement & Communication

• Serve as a liaison between technical teams, business stakeholders, and end users to ensure alignment on product goals and priorities.
• Facilitate requirements gathering sessions, sprint planning, and product reviews with cross-functional teams.
• Prepare and deliver executive-level presentations, status updates, and product performance summaries to leadership.

User Experience & Digital Workplace Optimization

• Advocate for the end-user experience by incorporating user research, feedback loops, and usability testing into the product lifecycle.
• Identify opportunities to streamline digital workplace tools, workflows, and processes through automation and intelligent solutions.
• Support change management and adoption strategies for new product launches and feature rollouts.

Required Qualifications

• Bachelor's degree - Business, Computer Science, Information Systems, Data Analytics, or a related field.
• 2–5 years of experience in product management, product analysis, business analysis, or a related role within a technology-driven environment.
• Demonstrated experience working with data analytics tools and platforms (e.g., Databricks, Power BI, Tableau, SQL).
• Foundational understanding of machine learning concepts, AI applications, and data pipelines.
• Strong analytical skills with the ability to synthesize complex data into actionable insights and recommendations.
• Experience with Agile/Scrum methodologies and product management tools (e.g., Jira, Aha!, Miro.).
• Excellent written and verbal communication skills with the ability to present to both technical and non-technical audiences.
• Proven ability to manage multiple priorities in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience with digital workplace platforms (e.g., Microsoft 365, ServiceNow, virtual desktop environments, collaboration tools).
• Familiarity with telemetry and usage analytics for enterprise applications.
• Exposure to NLP, recommendation systems, or predictive analytics product development.
• Experience with federated data access, data governance, or enterprise data platforms.
• Product management certification (e.g., CSPO, Pragmatic Institute, or equivalent).
• Experience in healthcare, enterprise IT, or large-scale organizational environments is a plus.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $158,620.00

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. 
 

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: 03/03/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.