Lead Director – Decision Scientist, Analytical Validation, Financial Products

• 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
• 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 from interviews, questionnaires, observations, and stakeholder feedback
• Develop self-service reporting solutions and reporting frameworks
• Develop KPIs, scorecards, dashboards, and monitoring and validation controls
• 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 for data quality issues, calculation discrepancies, forecasting deviations, and unexpected business outcomes
• Lead, coach, and develop a team of 10+ 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

Requirements

• 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: PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience
• Preferred: Experience validating underwriting, forecasting, pricing, or P&L platforms
• Preferred: Experience 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 discipline

Core Competencies

Demonstrates expertise in analytical validation, financial impact assessment, and data analysis, with a strong ability to lead teams and communicate insights effectively to stakeholders. Proficient in developing self-service reporting solutions and establishing best practices for analytical quality assurance.

Highest-signal resume keywords

• Analytical Validation
• Financial Impact Assessment
• Advanced SQL
• Data Analysis
• Team Leadership

Hard Skills

• Data Validation
• Root Cause Analysis
• Variance Analysis
• Business Impact Assessment
• Anomaly Detection
• KPI Development
• Dashboard Development
• Forecasting Validation
• P&L Validation
• Quantitative Data Analysis

Soft Skills

• Exceptional Communication
• Stakeholder Management
• Executive Presentation Skills
• Coaching
• Strategic Recommendations

Industry Keywords

• Analytics
• Decision Science
• Business Intelligence
• Financial Analysis
• Quality Assurance
• Healthcare
• Underwriting
• Pricing
• Actuarial
• Financial Analytics

Tools & Technologies

• Databricks
• SQL
• Tableau
• Power BI
• Python