At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

A BRIEF OVERVIEW

CVS Health is looking for an experienced analytics leader to grow and direct a diverse and talented Data Science team. A&BC is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to quickly transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all of our businesses in CVS Health.

REQUIRED QUALIFICATIONS

• 10 + years total business experience
• 7+ years’ experience with statistical concepts and advanced analytic techniques, such machine learning models (e.g., linear regression, tree-based non-linear, time series, random forests, natural language processing (NLP)), generative AI (Gen AI), clustering and segmentation, customer lifetime value, A/B testing, etc. to extract insights from text data
• 5+ years of business experience leading Healthcare analytic projects and initiatives from concept to delivery, coordinating across diverse stakeholder groups with track record of business impact
• 5+ years’ experience handling multiple, complex projects in a deadline-driven environment, anticipating and preventing roadblocks throughout a project lifecycle and driving resolution/mitigation
• 5+ years of people management experience, leading highly effective and engaged teams
• 5+ years’ experience with analytic and modeling tools and software, such as Python and SQL

PREFERRED QUALIFICATIONS

• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills, including the ability to present complex ideas to various audiences
• Experience with Medical Economics and Trend Analytics
• Highly self-motivated and attentive to detail
• Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer

EDUCATION

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

• Lead a team of analytic professionals in driving business value through data science solutions
• Collaborate with stakeholders across the organization, including executives, clinicians, technology professionals, and business analysts, to understand business strategy and provide data-driven solutions
• Provide thought leadership and guidance in the development of analytic solutions and business insights for stakeholders
• Define data science initiatives by utilizing data mining, data modeling, large language models, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions
• Design and develop data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data
• Apply data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making
• Develop and implement analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance
• Deliver presentations and consultative services to existing and prospective constituents on data analytics results and solutions
• Communicate with leaders to introduce and operationalize incremental KPIs that contribute to the company’s overall revenue and profitability targets
• Help establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices
• Continually evolve and ensure delivery against an analytics roadmap aligned with business partners