About the position
The Senior Decision Scientist for CVS Caremark & CVS Specialty Member Experience and Engagement is a strategic leadership role that combines advanced analytics with consulting expertise to drive transformative improvements in member and payor experiences. This position is designed for a seasoned professional with a strong consulting background, capable of leveraging complex data ecosystems to inform high-level strategic decisions and influence organizational direction. In this role, the Senior Decision Scientist will lead cross-functional initiatives aimed at enhancing member engagement and satisfaction, working closely with senior leadership to align analytical insights with business strategy. The ideal candidate will possess a robust background in business analytics, statistical methodologies, and exceptional communication skills, enabling them to craft compelling narratives and present strategic recommendations to executive stakeholders. This position offers a unique opportunity to shape the future of member and payor experiences within CVS through data-driven insights and strategic consulting.
Responsibilities
- Identify and prioritize high-impact business opportunities through sophisticated data analysis and consulting methodologies, developing actionable insights that drive strategic initiatives and enhance member engagement.
- Exhibit a self-starter mentality by independently exploring complex data sets, formulating comprehensive analytical work plans, and delivering insights that align with CVS Caremark & CVS Specialty's strategic objectives.
- Design, implement, and analyze robust A/B testing programs, iteratively refining hypotheses based on empirical data to optimize Payor & Member Experience & Engagement strategies.
- Define, track, and analyze key performance indicators (KPIs) that align with portfolio objectives, providing a framework for measuring project success and impact on member engagement.
- Effectively communicate analytical findings and strategic recommendations through engaging narratives and visualizations, ensuring that insights resonate with executive stakeholders and drive informed decision-making.
- Lead project execution while collaborating with diverse teams, including marketing, data engineering, and data science, to ensure accurate implementation and alignment with business requirements and strategic goals.
- Utilize a consultative mindset to understand client needs, translating complex analytical concepts into actionable strategies that address business challenges and opportunities.
- Maintain a strong understanding of coding practices, version control (GIT), documentation standards, and quality assurance best practices to ensure the integrity and reliability of analytical outputs.
- Present strategic recommendations to senior leadership and internal stakeholders, influencing decision-making processes and driving alignment with organizational goals.
Requirements
- 5+ years of experience in business analytics, analytical consulting, or a related field, with a proven track record of effectively communicating and consulting with internal and external stakeholders at all levels.
- 5+ years of professional experience with SQL and Python (including Pandas), demonstrating advanced data manipulation and analysis capabilities.
- 3+ years of statistical expertise, with hands-on experience in experimental design, A/B testing, and return on investment (ROI) analysis.
- Proficiency with the Microsoft Office Suite, particularly advanced skills in MS Excel and PowerPoint for data analysis and presentation.
- 3+ years of experience in strategic consulting or on strategy teams within large organizations, providing actionable insights and recommendations to senior leaders to support strategic decision-making.
Nice-to-haves
- Exceptional communication and presentation skills, with the ability to convey complex analytical concepts to diverse audiences, including C-suite executives.
- Strong problem-solving and analytical capabilities, with a strategic mindset and the ability to think critically about business challenges.
- Experience in the healthcare industry and/or management consulting, with a deep understanding of industry dynamics, competitive landscapes, and operational challenges.
- Proficiency in Tableau or similar data visualization tools, along with knowledge of media campaign planning and design.
- Practical experience with generative AI tools and concepts (e.g., LLM APIs, summarization, copilots), applied thoughtfully to marketing or healthcare use cases.
Benefits
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
