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CH
CVS Health
Lead Director - Decision Scientist and Analytical Validation for Financial Products
Career Insights for Analytics Product Manager
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What they do
An Analytics Product Manager is responsible for managing a strategy to develop and/or sell analytical services or analytics products. May involve planning and assisting in the development, marketing and distribution of the product.
$176,126 / year median in Connecticut
+3% projected growth
Job Description
AI Summary & Insights Summary Insights Lead Director
- Decision Scientist and Analytical Validation for Financial Products The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it. Lead Director
- Decision Scientist and Analytical Validation for Financial Products The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it. 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.
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.
Benefits
- Paid Time Off (PTO)
- Other Retirement and Savings
- Health and Wellness Programs
- Health Insurance