Principal Decision Scientist - Commercial Product and Pricing Strategy

Position Summary

CVS Health's Analytics & Behavior Change (A&BC) team works to solve challenging problems at the intersection of technology and healthcare. Leveraging AI, advanced analytics, clinical informatics, and hypothesis-driven approaches, we transform data into actionable, customer‑centric insights that drive growth, improve health outcomes, and expand access to care across all CVS Health businesses. Our products help power CVS Health to make health happen for over 100 million customers.

The Principal Decision Scientist for Commercial Pricing and Product serves as an internal consultant, product manager, and analytics leader across programs supporting underwriting, actuarial, and sales functions, working to improve growth, retention, and margin.

Lead AI, data science, and advanced analytics strategy for underwriting transformation products—from problem framing through deployment and value realization. Partner closely with Product and Engineering teams to shape new internal platforms or embed AI‑enabled capabilities into existing tools. Serve as an analytics product owner, translating underwriting and business needs into well‑defined analytics initiatives. Guide data scientists on appropriate analytical approaches, balancing rigor, interpretability, and business impact.

Define, track, and report product, operational, and business metrics aligned to organizational and underwriting transformation goals. Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes. Explore and deliver emerging technologies that can transform BI and reporting, leveraging AI to build flexible, dynamic reporting layers that enable user‑driven exploration.

Consult with internal clients to identify opportunities to implement data science solutions to business problems at an expert level. Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams. Build trusted partnerships with stakeholders at all organizational levels, serving as a strategic thought partner for data‑driven decisions. Translate complex analytical insights into clear, actionable narratives for both technical and non‑technical audiences.

Deliver executive‑ready insights that articulate progress, risks, and tradeoffs. Structure data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution.

• 7+ years of demonstrated success in Product Management, Management Consulting, Analytics, or equivalent roles.
• Track record of leading analytics projects from concept to delivery while coordinating across diverse stakeholders.

• Expertise in the healthcare domain and related data.
• Familiarity with AI, machine learning, and decision science applied to real‑world business problems.
• Experience advocating for and establishing engineering best practices in analytics teams.
• Familiarity with Google Cloud Platform (GCP) tools, including Big Query and Vertex AI.
• Training in advanced statistics, machine learning, and optimization.
• Strong executive communication and storytelling skills.

Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or Ph.D. preferred.

The typical pay range for this role is: $ – $. This represents the base hourly rate or base annual salary for all positions in the job grade. Actual offer will depend on experience, education, geography, and other factors. The position is eligible for a bonus, commission, or short‑term incentive program in addition to base pay, and includes an award target in the company’s equity award program.

This full‑time position is eligible for a comprehensive benefits package designed to support physical, emotional, and financial well‑being. Benefits include medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and additional resources. Details are provided during the application process and on the Benefits Moments page.

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