Lead Director Data Scientist, Forecasting Accuracy and Analytical Insights for Underwriting

What you'll do

• Lead the data science and analytics strategy for underwriting transformation software products from problem framing to production.
• Design and operationalize predictive, scenario-based analytical capabilities to support underwriting, pricing, and risk decisions.
• Develop time-series, regression, and tree-based models for volume, financial, and risk projections.
• Define and track product, operational, and business metrics and OKRs aligned to organizational goals.
• Establish scalable reporting frameworks and dashboards to provide transparency into product performance and financial impact.
• Lead, coach, and develop a high-performing organization of 10+ data scientists and validation professionals.
• Translate complex analytical insights into clear, actionable narratives for both technical and non-technical audiences.
• Partner with Product and Engineering teams to embed analytics and reporting into core product workflows.

What we're looking for

• 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.
• Advanced SQL and data analysis skills.
• Exceptional communication, stakeholder management, and executive presentation skills.
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
• Experience validating business outcomes and financial results using large-scale datasets.
• Experience in PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics (preferred).