Decision Science Director

Farmers Insurance

3d•$137,775 - $262,000

About The Position

The Director, Decision Science leads analytics and decision science professionals who transform data into actionable business insights for strategic decision-making across the enterprise. The role partners with executive leaders and cross-functional stakeholders to address complex business challenges, identify growth opportunities, improve operational performance, and enhance profitability. The Director sets the vision and strategy for decision science initiatives and oversees advanced analytics, statistical modeling, experimentation, forecasting, and machine learning to inform business decisions. The position leads other people leaders, ensures delivery of high-impact analytical solutions, and serves as a trusted advisor to senior leadership and subject matter expert in analytics and data-driven decision-making. It also fosters innovation, collaboration, accountability, and continuous improvement.

Requirements

10+ years of experience in analytics, decision science, data science, business intelligence, statistics, actuarial analytics, operations research, or related quantitative disciplines.
5+ years of progressive people leadership experience, including leading managers and developing high-performing analytics organizations.
Demonstrated experience influencing senior leaders and driving enterprise-level business decisions through analytics and insights.
Experience applying advanced statistical techniques, predictive modeling, experimentation, forecasting, machine learning, and optimization methodologies to solve business problems.
Strong executive communication, presentation, and stakeholder management skills.
Experience leading cross-functional initiatives and collaborating with business, technology, and data teams.
High School Diploma or equivalent required.

Nice To Haves

Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Business Analytics, Computer Science, Operations Research, or a related quantitative discipline preferred.

Responsibilities

Partner with executive leadership and cross-functional teams to identify strategic opportunities and develop data-driven solutions that improve business outcomes.
Lead the development and execution of the Decision Science strategy, aligning it with enterprise objectives and business priorities.
Provide consultative leadership on complex business questions using advanced analytics, statistical methodologies, predictive modeling, forecasting, and machine learning.
Translate business objectives into analytical frameworks and actionable recommendations that influence strategic decisions.
Guide large-scale exploratory analyses to identify trends, risks, opportunities, and performance drivers across the organization.
Oversee the design, execution, and interpretation of experiments, hypothesis testing, and causal inference analyses.
Direct the development, deployment, monitoring, and continuous improvement of predictive and prescriptive analytics solutions.
Use analytics, visualization, and decision-support tools to communicate insights to technical and non-technical audiences.
Present findings and recommendations to senior and executive leadership using compelling data storytelling and business-focused communication.
Partner with Data Engineering, Data Science, Technology, Product, Finance, and Business Operations teams to ensure data integrity, governance, and scalable analytical solutions.
Establish best practices for analytical rigor, model governance, data quality, and performance measurement.
Drive adoption of emerging analytical technologies, artificial intelligence, machine learning, and industry best practices.
Lead, develop, and mentor leaders and teams within the Decision Science organization, fostering accountability, innovation, inclusion, and high performance.
Manage workforce planning, performance management, employee engagement, talent development, succession planning, and organizational effectiveness initiatives.
Serve as a thought leader and trusted advisor, promoting data literacy and analytical decision-making throughout the enterprise.
Stay current on industry trends, emerging technologies, and advancements in decision science methodologies.
Perform other duties as assigned.