Lead Director - Decision Scientist and Analytical Validation for Financial Products

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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

The typical pay range for this role is: