Consultant, Data Product Owner (ESS Programs & E-Risk)

About this role

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 combines Data Product Owner and Business Advisor responsibilities, bringing together strong communication, stakeholder partnership, and data expertise. The position translates business needs into clear data requirements and supports the delivery of trusted data for Programs and E-Risk.

• Key responsibilities include sourcing, validating, and delivering Policy, Claims, Coverage, and related data for reporting, analytics, operational decisions, and predictive analytics use cases. The role leads and supports User Acceptance Testing by defining scenarios, validating outcomes, coordinating business handoffs, and documenting data changes and impacts. It also supports data quality by identifying defects, assessing downstream impacts, partnering on issue prioritization, and validating changes.
• The ideal candidate brings a curious mindset, strong business partnership skills, and the ability to influence through data and technical solutions. They will develop actionable recommendations, perform exploratory analysis to resolve data questions, help prioritize IT data work, and serve as a Programs data advisor for the business.
• This role collaborates with Programs Operations, Lifecycle Management, IT, DDS Data Engineering, Visualization, and Data Governance teams, as well as product vendors, to deliver trusted data products, reporting solutions, and visualizations. Success requires balancing business value, technical feasibility, data quality, and go...