Technology Project Manager - Data at Nationwide in Columbus, OH

  • Company: Nationwide
  • Location: Ohio - Columbus, Three Nationwide Plaza
  • Salary: $118K – $222K
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-29

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Job description

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. As a Technology Project Manager, you will be responsible for leading strategic & priority initiatives within the DOTS organization, driving data priorities into measurable outcomes & proving incremental value across delivery. This role will work in a hybrid schedule, coming into the Columbus, Ohio, or Des Moines, Iowa, office two days per week. Remote candidates may be considered. Why this role matters Nationwide’s Data, Operations, Technology, and Strategy (DOTS) organization within P&C Technology connects business strategy and analytical needs to trusted, governed, reusable data and AI capabilities that support reporting, analytics, automation, intelligent experiences, and emerging AI use cases. We are looking for a Project Manager who will coordinate with business stakeholders, delivery teams, technology partners, governance, architecture, risk partners, and vendors to deliver complex data initiatives predictably and responsibly. The role is accountable for both what gets delivered and how the work gets done, including partnering with stakeholders to define prioritization, execution, collaboration, decision-making, risk & crisis management, responsible AI use, and continuous improvement. Projects may include improving data accessibility and quality, building a future state data strategy in a federated lakehouse architecture, modernizing platforms and integration patterns, establishing governed data products and semantic models, strengthening metadata and lineage, enabling self-service analytics and delivering AI-enabled business capabilities. What this role entails Translate strategy into execution Partner with business and data leaders to define priorities, analytical needs, AI opportunities, business cases, and outcomes. Translate demand into scope, milestones, deliverables, success measures, resource plans, funding needs, and integrated schedules. Sequence work across data domains, platforms, governance, analytics, AI capabilities, and shared technology teams. Establish clear ownership, decision rights, dependencies, acceptance criteria, and adoption plans. Project Delivery Ownership Manage work from intake and planning through build, data onboarding, validation, testing, release, adoption, and stabilization. Establish the project operating rhythm, including integrated planning, milestone reviews, dependency management, risk management, financial management, change management, decision forums, status reporting, vendor & contract management and executive governance. Coordinate business teams, project teams, engineering, architecture, security, privacy, responsible AI, data governance, analytics, and vendors. Drive delivery against scope, schedule, budget, quality, controls, and business outcomes using fit-for-purpose methods such as Agile planning and iterative releases. Provide concise status reporting and executive communications focused on progress, risks, decisions, and next steps. Use automation, AI-enabled tools, and standardized practices to improve planning, reporting, risk identification, and team productivity with appropriate human oversight. Foster high accountability, healthy challenge, responsible innovation, strong data stewardship, and Nationwide’s “On Your Side” values. Ideal skill set 8+ years of project management experience, with 5+ years of demonstrated proficiency in delivering data outcomes/projects Familiarity with cloud and modern data-platform concepts such as lakehouse architectures, ETL/ELT, data integration, SQL, Snowflake, Data

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