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Lead Decision Scientist - Product Analytics

CVS Health

New York, NY · HybridFull-time$142–284K/yrPosted 1w agoStill listed 1w ago

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At a glance

Compensation
$142–284K/yr
Location
New York, NYHybrid
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Lead Decision Scientist will lead cross‑functional analytics initiatives, translate business questions into data‑driven frameworks, and communicate recommendations to senior leaders while managing stakeholder relationships and project risks.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonStrategy ConsultingStakeholder ManagementAnalytical Methods ReviewAgile MethodologiesHealthcare Sector Knowledge

Qualifications

4+ Years Business Experience Leading Mid‑Scale Initiatives7+ Years Total Business Experience2+ Years Stakeholder Management Experience4+ Years Experience With Strategy Consulting or on Strategy Teams in Large CompaniesBachelor's Degree in Quantitative Field or Equivalent Combination of Formal Education and ExperienceMaster's Degree in Quantitative Field or MBA Strongly Preferred

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match

Full job description

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 The Product Analytics team at Aetna, a CVS Health company, engages with a number of functional teams across CVS businesses to serve our members with better insurance products and to support our Sales teams in selling the right product to the right customer.

Lead Decision Scientists play an instrumental role in building cross-functional coalitions, defining product roadmaps that drive forward the most impact and engage with our Data Science team to deliver the appropriate business solutions.

Lead Decision Scientists structure ambiguous business problems into analytics frameworks, translate data insights into recommendations for business decisions, guide the evaluation of the business impact for those decisions and prioritize possible actions based on value, feasibility and risk.

To be successful in the role, Lead Decision Scientists need to excel in stakeholder management, consult with multiple business functions, recommend data-driven decisions to grow the business impact and ultimately deliver the solutions built by our Data Science team into the hands of our stakeholders.

The ideal candidate will:

  • Apply experience from strategy consulting, and analytics to successfully act as the product owner for multiple analytics initiatives.
  • Demonstrate strong ability to communicate both technical concepts and implications to business partners, and business drivers to data-science partners.
  • Be regarded as a business specialist with deep content specific knowledge.
  • Translate business questions into analytics frameworks using the language of Data Scientists.
  • Present the business recommendations in executive-ready stories with concise recommendations and influence senior leaders
  • Identify delivery risks and apply a solid project management framework
  • Anticipate and prevent problems and roadblocks autonomously before they occur
  • Demonstrate a high level of ownership for business problems, roadmap prioritization, stakeholder alignment, and impact measurement

Required Qualifications

  • 4+ years of business experience leading mid-scale initiatives with track record of business impact
  • 7+ years total business experience
  • 2+ years of stakeholder management experience
  • 4+ years of experience with strategy consulting or on strategy teams in large companies
  • Ability to work with data using SQL and Python
  • Experience reviewing analytical methods and outputs

Preferred Qualifications

  • 3+ years in a consulting firm using data to solve for client engagement
  • Experience in collecting user requirements and translating them into functional requirements for a data analytics solution
  • Experience in leading projects with Agile methodologies
  • Healthcare sector experience

Education

  • Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience.
  • Master's degree in quantitative field or MBA strongly preferred.

Pay Range The typical pay range for this role is:

$142,140.00 - $284,280.00 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/20/2026

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

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