AI Product Owner, Senior or Advanced

Federal Reserve Bank of Philadelphia•Richmond, VA

7d•Onsite

About The Position

The Federal Reserve’s System Innovation Office has an immediate opening for an AI Product Owner, Senior or Advanced, reporting to the System Innovation Office Group Vice President. Join our dynamic Systems Innovation team as a Product Owner, playing a pivotal role in driving the Federal Reserve's artificial intelligence initiatives. You'll work at the intersection of emerging AI technologies and practical implementation, helping translate cutting-edge innovations into actionable strategies. This role offers a unique opportunity to shape how the Federal Reserve leverages AI to address complex challenges and drive innovation across the system. This position is mission‑critical and demands a uniquely deep combination of AI/ML product leadership and enterprise‑scale transformation expertise. The System needs a resource who can operationalize AI solutions in production at scale, maintain an evergreen pipeline of high‑value use cases, and drive the cross‑functional coordination required across business lines, IT, security, and compliance. Success in this role depends on sustained institutional knowledge, long‑term stakeholder trust, and mastery of governance processes.

Requirements

Bachelor's degree or equivalent experience, with 6 to 9 years of relevant experience for the Senior level Product Owner and 10+ years for the Advanced level Product Owner.
Background should include project management, data science, or technical program management, with AI/ML experience strongly preferred.
Understanding of the Federal Reserve System structure and governance model
Demonstrated experience communicating complex AI concepts to executive stakeholders in clear, accessible language (written & verbal)
Experience managing complex calendars to include balancing multiple stakeholder schedules (working with their support staff) and proactively identifying conflicts before they arise
Ability to coordinate multiple AI workstreams simultaneously, balancing competing priorities while maintaining focus on strategic objectives
Proficiency using MS Word, Outlook and Excel
Proficiency in SharePoint, including site administration and records and information management
Experience with data visualization tools (Tableau, PowerBI) to create dashboards that monitor AI performance metrics
Strong organizational skills with demonstrated ability to structure and simplify complex AI project information
Ability to thrive in a collaborative, geographically distributed environment while managing ambiguity inherent in emerging technology implementations
Track record of implementing process improvements for project management workflows
Clear, concise written and verbal communication skills with meticulous attention to detail in AI documentation

Responsibilities

Translate real business problems into AI-native and agentic capabilities across all business lines and Reserve Banks across the system to modernize enterprise workflows, processes, and business‑led use cases.
Lead the shift toward modern, AI-enabled operations by empowering business units to move faster, reduce manual burden, and adopt new capabilities that materially improve how work gets done systemwide.
Ensure AI is embedded where it delivers measurable business outcomes—strengthening decision‑making, increasing productivity, and improving service delivery across diverse mission areas.
Establish shared data, API, and capability frameworks that eliminate duplication, create consistency across districts, and allow high‑impact AI solutions to scale quickly across the System.
Streamline and enhance AI governance processes so they become accelerators—not barriers—to responsible AI adoption. Drive clear, consistent, and efficient pathways for compliance, risk management, and production readiness, reducing fragmentation and ensuring Systemwide alignment with established standards and playbooks
Ensure AI use cases rapidly and reliably transition into full‑scale production environments—eliminating fragmentation, closing value‑realization gaps, and maintaining stringent System governance.
Champion a modernized, AI‑forward product development lifecycle that empowers Product Managers to deliver faster, reduce manual effort across business lines, and embed AI into value‑producing workflows.
Drive System‑wide enablement, training, and change management to ensure AI solutions are actually used, fully embedded, and delivering measurable efficiencies.
Identify, sequence, and elevate the AI initiatives that deliver the greatest enterprise value—ensuring System resources are focused on the highest‑impact opportunities.
Build a continuous pipeline of use cases ready for activation, incorporating next-wave innovations like agentic AI.
Tightly align business lines, IT, security, compliance, and enterprise partners to prevent duplication, reduce operational friction, and enable integrated AI delivery at scale.