Principal Decision Scientist - Commercial Product and Pricing Strategy

CVS Health•New York, NY

About The Position

CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages AI, advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers. The Principal Decision Scientist for Commercial Pricing and Product will act as internal consultant, product manager, and analytics leader across a range of programs supporting underwriting, actuarial, and sales functions, working to improve growth, retention, and margin. Success requires an entrepreneurial approach, ownership mindset, strong problem-solving abilities, and an ability to build trust-based relationships with senior executives. This leader operates at the intersection of product strategy, advanced analytics, and stakeholder alignment, ensuring insights are scalable, actionable, and directly tied to performance and financial outcomes.

Requirements

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

Nice To Haves

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 BigQuery and Vertex AI.
Training in advanced statistics, machine learning, and optimization.
Strong executive communication and storytelling skills.

Responsibilities

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.
Exploring and delivering emerging technologies that can help transform BI and reporting to leveraging AI to build reporting layers that are flexible, dynamic and can 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 clearly articulate progress, risks, and tradeoffs.
Ability to structure data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solution