Director, Business Insights (Agribusiness)

Nationwide•Columbus, OH

17h•$138,000 - $243,000•Hybrid

About The Position

This Director, Business Insights role is dedicated to Nationwide Agribusiness (NWAG) and will lead the existing data enablement team while owning the build and execution of NWAG’s Data Strategy. The preferred candidate would be a data leader with 10+ years of progressive experience translating enterprise or business-unit strategy into execution, supported by deep knowledge of data architecture, data models, modern data platforms, and governance. The role requires strong executive presence and close partnership with the enterprise and technology teams to align priorities, secure leadership buy-in and deliver capabilities that improve business outcomes. Preferred candidates should bring a demonstrated track record of leading complex data transformations and influencing senior stakeholders across business and technology. The person in this role will work in a hybrid work environment from either the Des Moines, IA, Scottsdale, AZ or Columbus, OH offices. 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.

Requirements

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

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.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire