Lead Decision Scientist, Product Analytics

CVS Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$142,140–$284,280 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today
Closes
Oct 25, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k
This role $213k
$125k $301k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $162,000–$231,150 — the blue band above. At the midpoint, this role pays about $213k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 109 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 107 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Lead Decision Scientist, Product Analytics

JOB TITLE: Lead Decision Scientist - Product Analytics The Lead Decision Scientist joins the Product Analytics team at Aetna to serve members with better insurance products and support sales teams. This role involves building cross-functional coalitions, defining product roadmaps, and structuring ambiguous business problems into analytics frameworks. You will translate data insights into executive-ready stories, recommend data-driven decisions to grow business impact, and guide the evaluation of feasibility and risk. You will act as a product owner for multiple analytics initiatives, translating business questions into the language of data scientists to deliver functional requirements. Required skills include SQL, Python, and experience with strategy consulting, stakeholder management, and reviewing analytical methods. The work focuses on solving business problems within the healthcare sector by prioritizing actions based on value and impact measurement.

What you'll do

  • Structure ambiguous business problems into clear analytics frameworks for the Data Science team.
  • Translate complex data insights into actionable business recommendations for senior leadership.
  • Act as the product owner for multiple analytics initiatives and define their roadmaps.
  • Communicate technical concepts to business partners and business drivers to data science partners.
  • Present executive-ready stories that influence senior leaders on business decisions.
  • Identify delivery risks and apply project management frameworks to prevent roadblocks.
  • Prioritize actions based on business value, feasibility, and risk.
  • Measure the business impact of analytics solutions delivered to stakeholders.

What we're looking for

  • 7+ years of total business experience.
  • 4+ years of business experience leading mid-scale initiatives with a track record of business impact.
  • 4+ years of experience with strategy consulting or on strategy teams in large companies.
  • 2+ years of stakeholder management experience.
  • Ability to work with data using SQL and Python.
  • Experience reviewing analytical methods and outputs.
  • Bachelor's degree in a quantitative field, or an equivalent combination of formal education and experience.
  • Master's degree in a quantitative field or MBA (preferred).
  • 3+ years in a consulting firm using data to solve for client engagement (preferred).
  • Experience in collecting user requirements and translating them into functional requirements for a data analytics solution (preferred).
  • Experience in leading projects with Agile methodologies (preferred).

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