Sr. AI Product Owner - Enterprise AI Platforms

Lincoln Financial•Radnor, PA

1d•$96,900 - $176,200•Hybrid

About The Position

This role serves as the Sr. Product Owner for the enterprise's internal AI platform capabilities (currently Claude and Microsoft 365 Copilot). The position owns the internal product backlog — covering integrations, configurations, use-case enablement, governance controls, and user-facing capabilities. The role is responsible for translating business and user needs into a prioritized, actionable roadmap; driving execution against that roadmap; and ensuring measurable adoption and value realization across the enterprise.

Requirements

Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's).
5–7+ years of experience in Product Ownership, Product Management, Business Analysis, or a related role within technology or platform teams.
Experience working with enterprise platforms, SaaS products, or internal digital tools.
Hands-on experience with enterprise generative AI tools (e.g., Claude, Microsoft 365 Copilot, ChatGPT Enterprise, Gemini), driving adoption, shaping use cases, or owning a GenAI feature area.

Responsibilities

Owns and manages the internal product backlog for the enterprise's Claude deployment — including integrations, configurations, use-case enablement, prompt and template libraries, governance controls, and platform-level capabilities.
Owns the internal Microsoft 365 Copilot enablement backlog, channels enterprise feedback into Microsoft's product roadmap, and aligns internal delivery with Microsoft's release cadence.
Drives execution of the Enterprise AI roadmap, managing dependencies across platforms, teams, and releases.
Serves as a decision-maker for backlog prioritization and scope trade-offs, ensuring stakeholder alignment throughout the development lifecycle.
Partners with power users and key stakeholders to deeply understand use cases, workflows, and unmet needs.
Translates user and business needs into clear epics, features, and user stories that inform platform enhancements and roadmap evolution.
Incorporates feedback loops and usage insights to continuously refine product direction and delivery.
Defines, tracks, and reports on key performance indicators (KPIs) related to AI adoption, usage, value realization, and business outcomes.
Uses data and insights to inform roadmap decisions, prioritize investments, and measure progress against business objectives.
Partners with enablement, change management, and communications teams to support adoption strategies and sustained usage.
Collaborates with internal technology teams to ensure AI solutions are scalable, secure, and aligned to enterprise standards.
Works closely with architecture, security, and governance stakeholders to ensure responsible and compliant use of AI capabilities.
Provides subject matter expertise on enterprise AI capabilities, usage patterns, and product direction.
Maintains awareness of emerging AI trends, platform enhancements, and industry best practices, assessing relevance and impact on the enterprise roadmap.
Identifies opportunities for process and delivery improvements across product management and AI enablement practices.
Mentors and supports junior product owners or team members as part of a broader Enterprise AI product group.