Lead Artificial Intelligence (AI) Enablement Operations Project Manager

Role Description

Join Ferguson's AI Center of Excellence (AI CoE) and play a critical role in advancing AI adoption across the organization! In this highly visible position, you'll lead the operational management of our AI use case portfolio, partnering closely with business leaders, business collaborators, and multi-functional teams to help transform ideas into scalable, business-ready AI solutions. You will lead all aspects of the end-to-end management of the AI use case pipeline, guiding initiatives from intake and evaluation through governance, leadership review, prioritization, and execution tracking.

This is a senior-level individual contributor opportunity for an experienced project manager who thrives in ambiguity, brings structure to complex initiatives, and enjoys influencing outcomes in a fast-paced, evolving environment.

Responsibilities

• Use Case Pipeline & Project Management:
  • Own and manage the end-to-end AI use case process, steering opportunities from intake and discovery through evaluation, governance review, leadership disposition, and backlog management.
  • Assess incoming use cases for business value, feasibility, risk, and readiness.
  • Lead discovery efforts with business customers to uncover requirements, address ambiguities, identify dependencies, and surface potential risks or gaps.
  • Perform business systems analysis by documenting requirements, workflows, decision points, process dependencies, and exception handling.
  • Identify and coordinate required security, privacy, compliance, and AI governance reviews.
  • Prepare decision-ready materials for leadership and governance forums.
  • Partner with AI Business Partners to evaluate and route use cases to the appropriate delivery path.
  • Maintain and manage the AI use case backlog.
• AI CoE Portfolio Operations:
  • Maintain authoritative portfolio visibility — use case records, lifecycle status, and action tracking.
  • Prepare and independently draft briefing materials, intake packages, and portfolio summaries.
• Adoption & Enablement Program Execution:
  • Manage the Adoption & Enablement ticket pipeline.
  • Coordinate and support the execution of AI onboarding, training programs, workshops, and AI Ambassador Network initiatives.
  • Partner with Function AI Leads, AI Business Partners, and Enablement leadership.
  • Analyze feedback and program outcomes for continuous improvement.
• Success Story & Impact Management:
  • Own the enterprise AI success story repository.
  • Gather and validate business impact and outcome data.
• Multi-Functional & Executive Partner Engagement:
  • Build strong working relationships with AI Business Partners, AI Ambassadors, Function AI Leads, and cross-functional participants.
  • Develop executive-ready communications, status reporting, and decision-support materials.
  • Proactively resolve operational issues and manage collaborator needs.
• Program Operations & Continuous Improvement:
  • Independently identify inefficiencies, process gaps, and scalability risks.
  • Maintain visibility into risks, dependencies, and commitments.
• Operational Reporting & Insights:
  • Own operational trackers, dashboards, and reporting views.
  • Identify reporting gaps and measurement blind spots.

Qualifications

• 5-8+ years of experience in project management, program management, business analysis, business systems analysis, or a related field.
• Demonstrable ability to lead complex, cross-functional initiatives.
• Strong stakeholder management skills.
• Experience leading discovery sessions and gathering requirements.
• Experience managing structured intake, governance, review, or portfolio management processes preferred.
• Proficiency with Microsoft 365, SharePoint, Power BI, Excel, Jira, Power Platform, or similar business productivity tools preferred.

Requirements

• Experience supporting AI, Generative AI, automation, digital transformation, or technology enablement initiatives preferred.
• Familiarity with AI governance, risk management, and enterprise AI operating models preferred.
• Experience with enterprise AI tools such as Microsoft Copilot, Gemini, Claude, or similar platforms preferred.
• Understanding of AI use case lifecycle management, portfolio operations, and adoption programs preferred.

Benefits

• Health, dental, and vision insurance.
• Paid time off.
• Life insurance.
• 401(k) with a company match.
• Mental health coverage.
• Gender affirming and family building benefits.
• Paid parental leave.
• Associate discounts.
• Community involvement opportunities.