Director, Business Insights; Personal Lines Auto Insurance

If you’re passionate about helping people protect what matters most to them, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty team could be the place for you! At Nationwide® “on your side” goes beyond just words. Our customers and partners are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

This opening can be filled in a Remote/Work-From-Home (WFH) capacity from anywhere within the United States, or in our Columbus, OH or Des Moines, IA offices, dependent on the selected candidate's preference.

This position leads the Auto Insurance analytics team within Personal Lines Business Insights. Qualified candidates must possess strong people leadership competency, preferably with formal people leadership experience, in addition to a professional background that is rooted in Analytics (Data Analytics, Data Science, Data Engineering, etc.). Strong preference for P&C Insurance industry experience and existing business acumen.

The most ideal candidate will also have:

• Experience leading a business analytics team, driving analytics and measurement strategies
• Prior experience working directly with the Personal Lines Auto product line of business
• Expertise in developing advanced analytical solutions and business intelligence applications. Experience with building predictive models is a plus.

This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.

We are a versatile group of individuals, working together to meet the needs of our customers. We value knowledge, analytical aptitude, and collaboration. If you thrive in a busy, engaging work environment, we want to know more about you!

• Builds and maintains relationships and serves as a trusted business advisor to business executives, clients, internal risk partners and others. Creates partnerships across the company to ensure methodologies and assumptions used are aligned with corporate practices.

• Leads team performing data analysis and modeling on extracted data sets to craft, package and communicate actionable insights and recommendations to business partners and executives.

• Directs team responsible for crafting, packaging and communicating internal/external insights to business partners. Ensures that insights are positioned to be action oriented.

• Plans and advises team regarding work which may span more than one project or focus area. Owns the development of the scope, risk/control matrix, project timelines and assignments.

• Drives the development of strategies for the business unit. Influences business executives to understand. Directs the team to align and deliver analysis that supports business objectives and priorities.

• Leads team in building business intelligence through tools such as R, Python, SAS, SQL, Tableau, etc.

• May lead training on report preparation and database access.

• Leads training on analysis, problem solving, and statistical inferencing.

• Leads a portfolio of special projects for both team members and members from other departments.

• Contributes to the continuous improvement of department processes through ongoing initiatives.

• Leverages statistical inferencing when conducting analysis. Communicates significance in findings when working with business partners.

• Manages associates, including performance, salary planning and administration, training and development, workflow and organizational planning, hiring and placement and disciplinary actions.

• Serves as a subject matter expert for business executives in the intake and prioritization of data reporting and advanced analysis work.

May perform other responsibilities as assigned.

Reports to Associate Vice President and leads team of Business Insight professionals.

Education: Undergraduate studies in computer science, management information, business, mathematics or related field with post-graduate studies preferred.

Experience: Typically, 10 or more years of experience in data…