Lead Director - Decision Scientist and Analytical Validation for Financial Products
CVS Health
- Location
- TX Work from home
- Work model
- Remote
- Level
- Staff
- Posted
- Sep 11, 2026
About this role
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. 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.