AI Product Manager

Alternate Locations: Radnor, PA (Pennsylvania); Greensboro, NC (North Carolina)     Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office   Relocation assistance:   is not available for this opportunity.   Requisition #:  76401   The Role at a Glance

Lincoln Financial Group is seeking a detail-oriented and delivery-focused Product Owner to join our AI Product & Delivery organization. In this role, leading innovation squads, you will own the day-to-day execution of AI product features and capabilities within an assigned product domain, working hands-on with data science, engineering, and business domain teams to bring AI solutions from backlog to production. Reporting to the VP/AVP of AI Products, you will serve as the connective tissue between business process reimagination and technical delivery — writing clear user stories, managing sprint-level priorities, supporting model evaluations, and ensuring AI features meet quality, compliance, and user experience standards. This role is ideal for a practitioner who thrives in the details and is eager to grow their AI product career in a regulated financial services environment. What you'll be doing

AI Feature Ownership & Delivery

Own and maintain the product backlog for assigned AI features or squads, ensuring stories are well-defined, prioritized, and ready for sprint execution. Write detailed user stories, acceptance criteria, and feature specifications for AI-driven capabilities in collaboration with engineering and data science teams. Lead actively in agile ceremonies — sprint planning, standups, reviews, and retrospectives — keeping delivery on track and surfacing blockers early. Coordinate UAT, QA, and launch readiness activities for AI feature releases, ensuring quality and compliance standards are met before go-live. Support the AVP in managing timelines, dependencies, and risks across feature workstreams.

Stakeholder Engagement

Serve as the day-to-day product contact for business SMEs, engineering squads, and UX designers within assigned AI feature areas. Communicate feature status, trade-offs, and delivery risks clearly to the AVP and relevant business partners. Facilitate working sessions and backlog refinement meetings to drive team alignment and shared understanding of requirements. Support change management by helping business partners understand, test, and adopt new AI-driven capabilities.

Responsible AI & Compliance

Apply responsible AI principles — fairness, transparency, explainability, and privacy — in the definition and acceptance of AI features. Escalate potential compliance, bias, or safety concerns identified during model evaluation or feature review to the AVP and relevant risk partners. Ensure AI feature documentation, testing evidence, and release artifacts meet Lincoln's internal governance and audit standards. Collaborate with Trust & Safety, Legal, and Compliance teams as needed to support feature-level risk reviews.

Performance & Insights

Define and track feature-level success metrics including adoption, task completion, model accuracy, and user satisfaction. Analyze usage data, model performance logs, and user feedback to identify improvement opportunities and inform backlog prioritization. Contribute to sprint-level reporting and help maintain product dashboards that surface key delivery and quality metrics. Share learnings from evals, user testing, and post-launch monitoring with the broader AI Product & Delivery team.

Data Science & Model Evaluation Support

Partner with data scientists and ML engineers to understand model capabilities, limitations, and evaluation results for assigned AI features. Assist in designing and executing evaluations (evals) for LLM-powered features — assessing output quality, accuracy, relevance, and safety against defined benchmarks. Review and annotate model outputs as part of human-in-the-loop feedback processes,