Director, Business Insights (P&C Insurance Personal Lines Planning & Forecasting)

Nationwide Mutual Insurance•Columbus, OH

2d•Remote

About The Position

This position leads the Personal Lines Planning & Forecasting team and partners closely with Finance, Pricing, State Management, and other stakeholders to develop tools that support more precise forecasting and planning. The team focuses on integrating richer data sources into planning processes while improving the efficiency and accuracy of financial projections. 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.

Requirements

Proficient in Excel and SQL.
Strong leadership skills - including the ability to guide and mentor a small team, collaborate effectively, and build consensus across diverse stakeholders.
Undergraduate studies in computer science, management information, business, mathematics or related field with post-graduate studies preferred.
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 structured and unstructured data sets and databases to build understandable and relevant measures.
Leadership experience required.
Ability to lead various financial and operational analysis projects.
Advanced knowledge of business policies and procedures, customer service concepts and practices.
Demonstrated understanding of and working knowledge to build and maintain ad hoc and standard analyses, including data visualization, predictive modeling and business intelligence tools.
Ability to conduct extraction of data for functional and operational measurement.
Strong communication skills for interactions with others.
Ability to understand business processes and the data produced by them.
Ability to understand functional and operational measurement needs, analyze data requests, and interpret business problems into solutions.
Ability to work under tight time constraints.
Capable of developing distinctive and understandable data visualizations.

Nice To Haves

Experience with Python and Databricks
Data visualization experience in Tableau or Power BI
Experience with planning, forecasting, or financial projections
P&C insurance industry experience
Experience leading a business analytics team
Experience building predictive models (plus)
Professional experience in insurance, financial services or a related industry preferred.

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.