Lead Director – Decision Scientist, Analytical Validation, Financial Products

This is a fully remote position, open to applicants in Colorado, +12 more states.

📋 Description

• Establish and direct the enterprise strategy and framework for analytical validation within the underwriting ecosystem.

• Validate business outcomes and assess financial impacts arising from data, logic, configuration, and application modifications.

• Lead validations of profit and loss, forecasting, and financial impact assessments.

• Collaborate with business and finance stakeholders to explore unexpected variances and shifts in performance.

• Analyze extensive and intricate datasets to uncover trends, risks, opportunities, and performance drivers.

• Conduct root cause analysis, variance analysis, and assessments of business impact.

• Analyze and consolidate quantitative and qualitative data gathered from interviews, surveys, observations, and stakeholder feedback.

• Create self-service reporting solutions and establish reporting frameworks.

• Develop key performance indicators (KPIs), scorecards, dashboards, and monitoring and validation controls.

• Convert complex analytical findings into actionable recommendations for business and executive leaders.

• Set standards and best practices for ensuring analytical quality.

• Spearhead efforts in anomaly detection concerning data quality issues, calculation discrepancies, forecasting errors, and unforeseen business outcomes.

• Lead, coach, and nurture a team of over 10 decision scientists, analysts, and validation professionals.

• Define the team's vision, strategy, goals, priorities, and objectives and key results (OKRs).

• Oversee resource planning, prioritize workloads, and facilitate organizational growth.

• Deliver executive-level communication, reporting, and strategic recommendations.

⛳️ Requirements

• A minimum of 12 years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation.

• At least 5 years of experience in leading large analytical teams and developing future leaders.

• Proficiency in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation.

• Strong capability to analyze and synthesize both quantitative and qualitative data to derive insights and clarify business outcomes.

• Experience in developing self-service reporting solutions and communicating insights derived from reports and dashboards.

• Demonstrated experience in validating business outcomes and financial results using large-scale datasets.

• Advanced skills in SQL and data analysis.

• Exceptional communication, stakeholder management, and executive presentation abilities.

• Preferred: Experience in PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics.

• Preferred: Background in validating underwriting, forecasting, pricing, or P&L platforms.

• Preferred: Familiarity with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms.

• Preferred: Advanced degree in Analytics, Statistics, Economics, Finance, Operations Research, Data Science, or a related quantitative field.

🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Paid time off

• Retirement savings options

• Wellness programs

• CVS Health bonus, commission, or short-term incentive program

• Award target in the company’s equity award program