Director, Decision Science Analytics P&C Pricing Modernization

About the position Responsibilities • Lead or collaborate with analytical leaders to implement the strategic direction of the business using mathematical and statistical techniques. • Develop the team's reputation as highly skilled experts in decision science support. • Oversee and coordinate analytical tasks including evaluation of business problems, analytical methodology, validation, documentation, and presentation of findings. • Monitor and adopt emerging technology that can affect scientific methodologies and quantitative analytical approaches. • Identify additional resource needs and provide business rationale for those needs. • Understand the business direction and strategies to set the analytic direction and influence business change. • Build and coordinate a team through recruiting, development, retention, coaching, and performance management. • Serve as a mentor for mathematical skills and statistical techniques to drive fact-based decision-making. • Maintain knowledge of data analysis tools and relevant industry data & methods. • Research and pursue industry-leading practices in data and analytics to advance the DSA community knowledge. • Work with IT/CTO partners to advance new data and platforms corresponding to evolving skill sets. • Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled. Requirements • Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics, mathematics, or quantitative analytics may substitute for a degree. • 8 years of experience in a decision support analytic function or an advanced degree with 6 years of experience in a decision support analytic function. • 3 years of direct team lead or management experience. • Expert skills in mathematical and statistical techniques to influence business strategy with fact-based decision-making. • Modern knowledge of data analysis tools, data visualization, and developing analysis queries in SQL, SAS, BI tools, or other analysis software. • Experience with new and emerging data sets and incorporation into new insights. Nice-to-haves • Personal Home or Auto experience. • Experience building or leading the development of acquisition and retention demand models, loss models, and lifetime value models. • Experience implementing these models for forecasting, pricing, and underwriting use cases. • Experience with technologies such as Sagemaker, H2O, Python, ONNX, Earnix. • Experience leading projects or managing teams in a matrixed, agile environment. • Demonstrated ability to re-engineer processes for efficiency gains. Benefits • Comprehensive medical, dental, and vision plans. • 401(k) and pension plans. • Life insurance and parental benefits. • Adoption assistance. • Paid time off program with paid holidays plus 16 paid volunteer hours. • Various wellness programs. • Career path planning and continuing education assistance. Apply tot his job