Director, Business Insights (Casualty Claims & Underwriting Portfolio Insights (UW Performance))

If you’re passionate about helping people protect what matters most to them at a Fortune 100 company with nearly $70 billion in annual sales, 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 role will lead a team of around 5 associates of varying levels and technical skill sets. The associates will support Nationwide's Commercial and E&S/S Casualty lines of business. They will be responsible for delivering actionable claims and underwriting insights through quantitative analysis of appetite, changing peril, portfolio advantages, and areas of concern.

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Job Description Summary

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!

As a Director, Business Insights, you’ll lead a team responsible for extracting and manipulating internal and external data through R/SAS/SQL/Python, performing diagnostic and inferential analysis, investigating complex business concerns using data, technical techniques, analysis or visualization techniques, and communicating key findings to business partners. Your focus will be for your team to maximize and effectively communicate insight gained from internal and external data to ensure that business executives are making decisions in an optimally informed way. And we’ll count on you to establish, grow, and evolve relationships with the business to maximize effectiveness.

Job Description

Key Responsibilities:

• 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 actional 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 data base 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.

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

Typical Skills and Experiences: 

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 extraction, data manipulation, prescriptive analysis, and data visualization. Experience with advanced statistical techniques such as predictive analytics.  Detailed experience with data-extraction problem solving; working with large stru