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Position Summary
The Lead Director, Decision Scientist – Forecasting Accuracy and Analytical Validation for Financial Products, ensures the accuracy, reliability, and financial integrity of analytics-driven products across the underwriting ecosystem. This leader sets the strategy for forecasted P&L accuracy, anomaly detection in live underwriting deals, analytical validation, quality assurance, and forecasting and P&L algorithm verification. They ensure that changes to data, logic, assumptions, configurations, and applications deliver expected results without unintended financial or operational impacts.
This role combines the analytical rigor of a Decision Scientist with the leadership capabilities of a financial product development leader. The position leads a team of 10+ analysts and validation professionals responsible for analytical validation, reporting solutions, business impact analysis, quality assurance, and financial result verification.
Key Responsibilities:
Analytical Validation & Financial Impact Assessment
- Establish and lead the enterprise strategy and framework for analytical validation across the underwriting ecosystem.
- Validate business outcomes and financial impacts resulting from data, logic, configuration, and application changes.
- Lead P&L validation, forecasting validation, and financial impact assessments to ensure confidence in analytical outputs.
- Partner with business and finance stakeholders to investigate unexpected variances and performance shifts.
Data Analytics, Reporting & Decision Support
- Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
- Conduct root cause analysis, variance analysis, and business impact assessments.
- Analyze and synthesize quantitative and qualitative data, including findings from interviews, questionnaires, observations, and stakeholder feedback, to explain business outcomes and support decision-making.
- Develop self-service reporting solutions that provide business users with timely access to insights and performance metrics.
- Understand, interpret, and summarize key insights, trends, risks, and opportunities from reports and dashboards.
- Develop KPIs, scorecards, dashboards, and reporting frameworks that measure product quality, financial accuracy, and business outcomes.
- Translate complex analytical findings into actionable recommendations for business and executive leaders.
Quality Assurance & Anomaly Detection
- Establish standards and best practices for analytical quality assurance.
- Lead anomaly detection efforts to identify data quality issues, calculation discrepancies, forecasting deviations, and unexpected business outcomes.
- Develop monitoring and validation controls that improve confidence in analytical products and financial results.
Organizational Leadership
- Lead, coach, and develop a high-performing organization of decision scientists, analysts and validation professionals.
- Define team vision, strategy, goals, priorities, and OKRs.
- Manage resource planning, workload prioritization, and organizational growth.
- Provide executive-level communication, reporting, and strategic recommendations.
Required Qualifications
- 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation.
- 5+ years of experience leading large analytical teams and developing people leaders.
- Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation.
- Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights and explain business outcomes.
- Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
- Proven experience validating business outcomes and financial results using large-scale datasets.
- Advanced SQL and data analysis skills.
- Exceptional communication, stakeholder management, and executive presentation skills.
Preferred Qualifications
- PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience.
- Experience validating underwriting, forecasting, pricing, or P&L platforms.
- Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms.
- Advanced degree in Analytics, Statistics, Economics, Finance, Operations Research, Data Science, or a related quantitative discipline.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
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. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.