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Senior Technical Product Manager - AI Decision Intelligence Platform

Job in New York, New York County, New York, 10261, USA
Listing for: CVS Health
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Technical  Product Manager - AI Decision Intelligence Platform
Location: New York

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
  • Independently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains.
  • Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges.
  • Partners closely with business stakeholders to understand objectives, constraints, and success metrics; translates these into scalable analytical solutions and actionable recommendations.
  • Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing work streams, and driving measurable business outcomes.
  • Leads development of moderately complex solutions with meaningful business risk and visibility, ensuring rigor, explainability, and operational scalability.
  • Develops and delivers executive-ready presentations that clearly communicate technical findings, trade-offs, and recommendations to senior leadership and client-facing teams.
  • Applies strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights.
  • Uses advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources.
  • Demonstrates strong consulting skills, including proactive problem identification, stakeholder alignment, and the ability to influence decision-making in cross-functional environments.
Required Qualifications
  • 3+ years of analytics experience independently driving end-to-end analyses and initiatives with demonstrated business impact.
  • 3+ years of data science experience, preferably in consulting or highly cross‑functional environments.
  • Experience in SQL and data visualization tools (e.g., Tableau or similar BI platforms).
  • Experience programming in Python and/or R for data analysis, modeling, and solution development.
  • Proven ability to communicate complex technical concepts clearly to non-technical audiences.
  • Demonstrated ability to manage multiple priorities and deliver high-quality work in fast-paced, evolving environments.
Preferred Qualifications
  • Strong knowledge of advanced analytics and AI techniques, including predictive modeling, machine learning, forecasting, optimization, and experimentation methodologies.
  • Experience working with large, multi-source datasets in healthcare, pharmacy, or other regulated industries.
  • Experience designing scalable analytical solutions that move from prototype to production.
  • Anticipates risks, identifies roadblocks early, and proactively proposes mitigation strategies.
  • Demonstrates executive presence and the ability to influence senior stakeholders and client-facing teams.
  • Demonstrates depth in one or more specialized areas (e.g., forecasting, causal inference, NLP, AI applications, risk modeling) while maintaining broad applied data science capability.
Education
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
  • Master’s degree or PhD preferred.
Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The Typical Pay Range For This Role Is $ - $

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…

Position Requirements
10+ Years work experience
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