Manager, Software Engineering Product Manager (Annuity Data Platform)

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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. This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week on Wednesdays & Thursdays. Position Overview: We are seeking a dynamic and experienced Software Engineering Product Manager to lead the Annuity Data Platform (ADP) team. This role is pivotal in developing, scaling, and operationalizing the Annuity Data Platform to support the Annuity Modernization Program , with particular emphasis on first-launch delivery , data readiness, and enabling broader Data Strategy outcomes. The successful candidate will collaborate closely with ALIP , Real Time Integrations , Workflow , Correspondence , Data Architecture , and impacted Business Stakeholders to deliver reliable, scalable, and reusable data capabilities that support modernization outcomes across the annuity value chain. The role will also help advance AI capability development in the data space , partnering with business and technology leaders to identify, shape, and deliver AI-based solutions that improve decisioning, efficiency, insights, and customer experience. Roles and Responsibilities: 1. Annuity Data Platform Strategy and Roadmap - Define and drive the strategic direction for the Annuity Data Platform in alignment with organizational goals, the Annuity Modernization Program , and broader Data Strategy priorities. - Establish an outcome-based roadmap for ADP that balances first-launch delivery commitments with longer-term platform scalability, reuse, analytics, and AI enablement. - Partner with architecture and business leaders to ensure the platform supports critical modernization capabilities, downstream consumers, and future-state reporting, analytics, and AI needs. 2. First-Launch Delivery Execution - Lead the ADP team in delivering data capabilities required for Annuity Modernization first launch , including support for priority business capabilities and critical-path features. - Ensure backlog readiness, sequencing, and alignment to milestone planning, integrated plans, and cross-team handoffs so the ADP team can execute predictably against committed outcomes. - Drive resolution of scope, dependency, and capacity issues impacting delivery, while maintaining focus on business value, schedule commitments, and quality. 3. Data Platform Engineering and Operational Excellence - Lead the design, development, and operationalization of scalable, secure, and resilient data platform capabilities that meet business and technology needs. - Establish and mature engineering practices across the ADP team, including DevSecOps , automation , observability, and support for reliable run operations. - Ensure strong controls around platform health, data quality, stability, support readiness, and risk mitigation as ADP becomes foundational to multiple annuity capabilities. 4. Data Strategy and AI Enablement - Partner with enterprise and program data leaders to shape and implement Data Strategy for Annuity, including data modeling, lineage, governance, and reusable platform patterns. - Identify high-value opportunities for AI-based solutions enabled by trusted, governed, and reusable data assets on the ADP platform. - Help define and mature foundational AI capabilities in the data space, including reliable data pipelines, governed data assets, reusable data products, and platform patterns that enable analytics, automation, and AI use cases. - Ensure the platform enables trusted, consumable data for operational processes, regulatory needs, reporting, analytics, and future AI-driven solutions. 5. AI and Business Solution Enablement - Work closely with business stakeholders to understand pain points, process inefficiencies, and decisioning opportunities that can be addressed through data and AI-based solutions . - Partner across business and technology teams to translate opportunities into actionable use cases, roadmaps, and delivery plans. - Promote pragmatic adoption of AI-enabled capabilities that improve operational efficiency, speed to insight, and business value while aligning to enterprise standards and risk controls. - Ensure AI and data solutions are tied to measurable business outcomes and support the broader goals of Annuity Modernization . 6. Cross-Functional Collaboration - Foster close partnerships across Annuity Technology , IDS , Data Architecture , Program Leadership , and business stakeholders to ensure seamless execution of platform and capability delivery. - Work closely with partner teams such as ALIP , Real Time Integrations , Workflow , Corr

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