Product Manager - Analytics Dashboards & Insights (Remote)

CVS Health Corporation

City of Albany (NY)

Hybrid

USD 83,000 - 222,000

Full time

2 days ago
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Job summary

CVS Health is expanding its Analytics & Behavior Change (A&BC) Product function. We are building internal analytics products—dashboards, reporting tools, and insight-generation capabilities—for the Utilization Management Analytics Squad.

You will own the day-to-day build and also manage intake and prioritization of analytics requests from stakeholders. You will partner with data science, engineering, and design to ship features, conduct user research, and drive adoption metrics.

Qualifications

  • Bachelor's degree in CS/Engineering/Data Science or related field.
  • Experience translating ambiguous business questions into clear requirements.
  • Strong data storytelling and analytics tool experience.

Responsibilities

  • Own the roadmap and backlog for an internal UM analytic product (dashboards, reporting, insight tools).
  • Manage intake, triage, and prioritization of ad hoc analytics requests.
  • Conduct user research, usability testing, and SME interviews to translate business questions into requirements.
  • Write user stories, acceptance criteria, and product specs for data science and engineering teams.
  • Collaborate with designers on UX flows, wireframes, and dashboard/report design.
  • Run day-to-day Agile ceremonies and coordinate dependencies with other squads.

Skills

Product management
Cross-functional collaboration
Agile methodologies
Stakeholder management
Requirements gathering
Data storytelling

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, or related quantitative field

Tools

Tableau
Power BI
SQL
Excel

Job description

CVS Health is expanding its Analytics & Behavior Change (A&BC) Product function. We are building internal analytics products—dashboards, reporting tools, and insight-generation capabilities—for the Utilization Management Analytics Squad.

You will own the day-to-day build and also manage intake and prioritization of analytics requests from stakeholders. You will partner with data science, engineering, and design to ship features, conduct user research, and drive adoption metrics.

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