Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes.
Ensure analytical models are interpretable, validated, and production‑ready.
Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.

5+ years of experience in providing analytical leadership and expertise to forecasting and financial software products.
Deep expertise in causal inference, including causal modeling frameworks and bias-adjustment techniques
Experience building counterfactual and “what-if” scenario analysis systems at scale.
Strong background in time-series forecasting and predictive modeling using modern statistical and machine learning approaches.
Proven ability to design and operationalize end-to-end analytics or ML pipelines.
5+ years of strong Python skills and working knowledge of SQL and distributed data platforms (e.g., Spark).
5+ years of demonstrated success translating ambiguous business and product questions into measurable analytical solutions.
5+ years of experience partnering with product, engineering, and business leaders to influence strategy and outcomes.
Track record of delivering analytics and reporting capabilities adopted by business and executive stakeholders.
Strong executive communication and storytelling skills.
5+ years of experience mentoring and leading senior data science and analytics professionals.
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferred.

Principal, Analytics and Data Science – Pricing Forecasting

Key skills