Consultant, Annuity Data Analyst

Job Summary Are you passionate about being part of a team at a Fortune 100 company with nearly $70 billion in annual sales that delivers extraordinary care to help individuals and businesses prepare for and protect their future? If so, then Nationwide Financial 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. The Consultant, Annuity Data Analyst serves as a strategic partner between the Annuity business, technology teams, Enterprise Data Office (EDO), and Data Governance organizations. This role leads complex, cross‑functional data initiatives that translate business strategy into actionable data, technology, and operational solutions. Operating with a high degree of independence, the Consultant leverages deep annuity domain expertise and strong analytical skills to shape data priorities, improve data quality, support modernization efforts, and drive business adoption of enterprise data capabilities. The role plays a critical part in ensuring annuity data is trusted, governed, accessible, and aligned to business objectives. Success in this role requires the ability to navigate ambiguity, influence across multiple stakeholder groups, and connect data solutions to measurable business outcomes. Compensation Grade: G5 Key Responsibilities Business and Data Leadership Serve as the primary business liaison across Annuity business partners, Information Technology, Enterprise Data Office, and Data Governance teams to support ongoing data initiatives and issue resolution. Translate business objectives into actionable data requirements, business rules, user stories, backlog items, process impacts, and delivery priorities. Lead business‑side definition, prioritization, and execution of annuity data initiatives, ensuring alignment with strategic goals and operational needs. Facilitate cross‑functional discussions to drive consensus, resolve issues, and establish priorities across multiple stakeholder groups. Data Strategy, Governance, and Quality Partner with Data Governance and Data Stewardship teams to establish and promote effective governance practices, standards, and controls. Define, validate, and monitor data quality controls related to conversions, workflows, defects, and migration activities. Lead efforts to identify, prioritize, and remediate data quality issues impacting reporting, operations, and stakeholder confidence. Drive adoption of enterprise data solutions by ensuring data is understandable, accessible, and trusted by business users. Data Modernization and Technology Partnership Partner with technology teams on PALLM modernization initiatives, data migrations, and related transformation efforts. Serve as Product Owner for assigned technology workstreams, as needed, providing business direction and backlog prioritization. Guide the design and organization of annuity data within Snowflake and other enterprise platforms to support reporting, analytics, and decision‑making. Assess upstream and downstream impacts across annuity administrative systems and related operations to ensure successful solution implementation. Business Analysis and Operational Enablement Analyze data flows, business processes, and system dependencies across platforms such as PALLM, CALIPSO, and CIS. Evaluate business use cases and identify opportunities where data enhancements can improve operational efficiency, reduce risk, and generate business value. Connect business requirements with technology execution while balancing strategic objectives against day‑to‑day delivery demands. Support stakeholder understanding, adoption, and effective use of annuity data assets and reporting capabilities. Leadership Expectations Lead through influence rather than formal authority. Drive alignment among business, data, governance, and technology stakeholders. Translate ambiguity into clear, prioritized actions and delivery plans. Champion data quality, governance, and business adoption initiatives. Enable successful migration and modernization efforts by ensuring solutions reflect business rules, process dependencies, and stakeholder needs. Build trusted partnerships and facilitate decision‑making across organizational boundaries. Product Owner Responsibilities Executes on the solution vision/roadmap. Serves as the customer and business proxy to developers and agile delivery teams for a single data product/experience impacting a single line of business. Actively participates in daily scrum meetings, grooming meetings, project status meetings, sprint planning, and review meetings. Drives near‑term milestone planning by overlaying the prioritized backlog against fixed‑time blockers (monthly/quarterly) to help manage interdependencies and coordination across development teams. Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities. Participates in planning and execution of user acceptance testing, triage issues, and works with development team to resolve. Manages all communications related to data product between Technology line, business stakeholders, and work requestors, resolving blockers/risks on behalf of business, with some supervision. Conducts/coordinates User Acceptance Testing. Defines, monitors and analyzes metrics that reflect the quality and success of the data solution(s). Serves as steward for data product, providing end-to-end subject matter expertise, including related up‑and downstream systems and processes. Acts as governance advocate, ensuring data metrics are understood and leveraged as intended by business users. Responsible for ongoing data accuracy, including defect reporting, prioritization and resolution. Assists in the governance of all data access requests and has final right of refusal for accesses. Defines, prioritizes and grooms the agile delivery team's product backlog to ensure continuous delivery, as well as develops, prioritizes and manages epics and user stories for the development team. Qualifications Required Experience Bachelor's degree in Business, Information Systems, Computer Science, Statistics, Mathematics, or a related field, or equivalent combination of education and experience. Approximately 7+ years of experience leading business and technology‑enabled data initiatives. Experience managing or influencing product backlogs, prioritization activities, defect management, roadmap planning, and requirements development. Strong analytical, problem‑solving, facilitation, communication, and stakeholder management skills. Demonstrated ability to translate complex and ambiguous business needs into actionable data and technology solutions. Proven ability to operate independently and exercise sound judgment in a complex, cross‑functional environment. Deep understanding of annuity administrative systems, data structures, and the relationship between upstream and downstream business processes. Preferred Qualifications Experience supporting data governance, data stewardship, and enterprise data management initiatives. Experience with data migration, modernization, or large‑scale transformation programs. Knowledge of Snowflake or other enterprise data platforms. Insurance and annuity industry experience. Familiarity with annuity administration platforms such as PALLM, CALIPSO, and CIS. What Success Looks Like The successful candidate will be a trusted advisor who connects business strategy, data, and technology to drive meaningful outcomes. They will improve the quality and usability of annuity data, influence enterprise priorities, support modernization efforts, and help ensure data becomes a strategic asset that enables better decisions, stronger operations, and long‑term business value. Reporting Relationship Reports to Sr Consultant, Data Product Owner or other assigned leader within Annuity Business Intelligence. Location & Work Schedule The hired associate must reside within 35 miles of Columbus, OH: One Nationwide Plaza, Columbus OH, 43215. Work schedule: 3 days in office, 2 days remote. This role does not qualify for employer‑sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program. Benefits Benefits include medical/dental/vision, life insurance, short and long term disability coverage, paid time off (minimum 18 days per 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, and more. Salary and Compensation Nationwide pays on a geographic‑specific salary structure. The national salary range for Consultant, Data Product Owner is $118,000.00 – $222,000.00. The expected starting salary range for Consultant, Data Product Owner is $118,000.00 – $178,000.00. Equal Opportunity Employer Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic protected by applicable law. Note to Employment Agencies Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited. No fee will be paid if the candidate is subsequently hired as a result of the referral or through other means. #J-18808-Ljbffr OhioX, Inc.