Lead Director - Decision Scientist and Analytical Validation for Financial Products

CVS Health; Colorado; Hybrid; USD 144,000 - 288,000; Full time

Job summary

CVS Health is seeking a Lead Director of Decision Science to ensure accuracy of analytics-driven products across underwriting. You will set the strategy for forecasted P&L accuracy, anomaly detection in live underwriting deals, and rigorous analytical validation to protect financial results.

You will lead a high-performing team of decision scientists and analysts, collaborate with business and finance partners, and drive self-service reporting and dashboards to support strategic decisions at the

Qualifications

• 12+ years in analytics or data validation.
• 5+ years leading large analytical teams.
• Expertise in analytical validation, anomaly detection, and financial validation.
• Strong ability to synthesize data and explain outcomes.
• Experience with self-service reporting and dashboards.
• Proven experience validating business outcomes using large datasets.
• Advanced SQL and data analytics skills.
• Exceptional communication and executive presentation skills.

Responsibilities

• Set enterprise framework for analytical validation across underwriting.
• Validate outcomes and financial impacts of data, logic, and config changes.
• Lead P&L and forecasting validation and risk assessment.
• Partner with business and finance to investigate variances.
• Develop self-service reporting solutions for timely insights.
• Create KPIs, scorecards, dashboards to measure quality and outcomes.
• Lead anomaly detection and monitoring controls.
• Coach and develop decision scientists, set OKRs and growth.

Skills

Analytical Validation

Anomaly Detection

Forecasting

Financial Analysis

Leadership

Executive Communication

Education

Advanced degree in Analytics or related field

Tools

Databricks

SQL

Tableau

Power BI

Python

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

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.

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.