Sr Consultant, Data Product Owner - Nationwide Careers

If you’re passionate about innovation and want to work in a dynamic environment where continuous improvement and adoption of new technologies are key, then join Nationwide’s Information Technology team! At Nationwide®, "on your side" is more than just a slogan—it's our mission. Our customers are central to all we do, and we’re looking for associates who share our passion for delivering exceptional care.

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

Opportunity Overview

Are you eager to make an impact within our P&C business and across the enterprise? Do you seek a challenging role focused on leveraging Intelligent Data & Analytics capabilities? If so, this position might be the perfect fit for you. As a Data Product Manager - Agreement, you will be responsible for setting data product strategy, defining and supporting the creation of desirable, feasible, and sustainable data solutions to meet stakeholder needs over time.

Key Skills Required

• Data analysis and query building
• Servant Leadership
• Querying data
• Problem-solving
• Design thinking
• Communication
• Pricing and product acumen
• Reconciliation, Financial Controls, and Data Quality acumen
• Technical: SQL, ETL Development, Agile practices, Data Modeling techniques

Vision and Roadmap

• Creates and maintains the portfolio vision for the domain.
• Collaborates with Data Management, IT, and Business Leadership to develop the roadmap of feature delivery.
• Continuously communicates vision and roadmap to the Data Product Owners.
• Collaborates with Solution Architects and Domain Data Governance to ensure standards and quality requirements are met.

Portfolio Management

• Manages and prioritizes the work flow into the domain.
• Ensures awareness and understanding of business-funded projects impacting the domain.
• Coordinates release and planning activities with key resources.
• Supports agile teams, ensuring work is well-defined and continuously flowing to the teams.
• Guides work through incremental deliveries and coordinates User Acceptance Testing.
• Collaborates with Solution Architects to align feature sequencing with technology decisions.

Stakeholder Management

• Identifies current and future stakeholders for the domain.
• Connects deliverables to stakeholder needs, ensuring continuous improvement and business value.
• Evaluates tactical solutions against strategic objectives to maximize value and minimize technical debt.

Having experience with Jira or similar tools and a SAFe certification is highly desirable.

Compensation Grade

H5

Job Description Summary

Nationwide’s industry-leading workforce crafts secure, reliable, and efficient data solutions to support our mission of delivering extraordinary care. We embrace an agile, collaborative work environment, understanding business processes and requirements through data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning. If you’re driven to be part of a forward-thinking data-enabled culture, we want to hear from you.

As a Data Product Owner, you’ll represent data-related customer needs within a Technology development line, serving as the primary liaison between business and Technology. You’ll create and maintain the vision and value for the data product, re-prioritize backlogs, manage communications between Technology and business, resolve blockers, conduct User Acceptance Testing (UAT), and approve releases.

Key Responsibilities

• Serves as the steward for data product, offering end-to-end subject matter expertise.
• Acts as a governance advocate, ensuring data metrics are understood and leveraged appropriately.
• Governs all data access requests and ensures data security throughout the delivery lifecycle.
• Defines, prioritizes, and grooms the agile team's product backlog for continuous delivery.
• Participates actively in scrum meetings, planning, and UAT.
• Monitors and analyzes metrics reflecting the quality and success of data solutions.
• Over