Consultant, Annuity Data Analyst
Listed on 2026-07-17
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IT/Tech
Business Systems & Technology Analysis, Business Intelligence, Change Management -
Business
Business Systems & Technology Analysis, Business Intelligence, Change Management
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.
- 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.
- Partner with technology teams on PALLM modernization initiatives, data migrations, and related transformation efforts.
- Serve as Product Owner for assigned technology work streams, 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.
- 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.
- 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…
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