Lead Artificial Intelligence (AI) Enablement Operations Project Manager

Ferguson is a Fortune 500 company that provides quality supplies across various industries. They are seeking a Lead Artificial Intelligence Enablement Operations Project Manager to advance AI adoption within the organization by managing the AI use case portfolio and collaborating with business leaders to develop scalable AI solutions.

Responsibilities:

• 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, determining whether initiatives should advance, require further clarification, or be redirected
• 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, translating complex business needs into actionable recommendations
• Identify and coordinate required security, privacy, compliance, and AI governance reviews, ensuring assessments are completed prior to leadership decision-making
• Prepare decision-ready materials for leadership and governance forums, providing clear analysis, recommendations, and context to support informed prioritization decisions
• Partner with AI Business Partners to evaluate and route use cases to the appropriate delivery path, including AI Studio, self-service solutions, vendor-supported offerings, or AI Council review
• Maintain and manage the AI use case backlog, ensuring clear status tracking, prioritization rationale, and visibility for both active and deferred opportunities
• Maintain authoritative portfolio visibility — use case records, lifecycle status, and action tracking — and independently identify and flag portfolio risks, stalled items, or inconsistencies for leadership attention
• Prepare and independently draft briefing materials, intake packages, and portfolio summaries used in prioritization discussions and governance reviews, exercising judgment about what is material to the decision at hand
• Manage the Adoption & Enablement ticket pipeline, including licensing requests, prioritization, resolution tracking, and customer concerns
• Coordinate and support the execution of AI onboarding, training programs, workshops, and AI Ambassador Network initiatives, proactively addressing operational and engagement challenges
• Partner with Function AI Leads, AI Business Partners, and Enablement leadership to drive alignment, communication, and successful program delivery
• Analyze feedback and program outcomes to find opportunities for continuous improvement and increased AI adoption
• Own the enterprise AI success story repository, including independent judgment on what qualifies as a credible, well-evidenced success story versus anecdotal input
• Gather and validate business impact and outcome data, exercising discretion in how outcomes are characterized for leadership and enterprise audiences
• Build strong working relationships with AI Business Partners, AI Ambassadors, Function AI Leads, and cross-functional participants to support successful AI initiative execution
• Develop executive-ready communications, status reporting, and decision-support materials for AI CoE and Adoption & Enablement leadership
• Proactively resolve operational issues, manage collaborator needs, and apply autonomous decision-making when determining appropriate paths for critical issues
• Independently identify inefficiencies, process gaps, and scalability risks across AI Enablement operations, and bring forward evaluated recommendations rather than raw observations
• Maintain visibility into risks, dependencies, and commitments across two active lanes, and exercise judgment on prioritization when demands compete
• Own operational trackers, dashboards, and reporting views spanning both lanes; independently analyze intake, adoption, and participation data to surface trends and decision-relevant insight — not simply status updates
• Identify reporting gaps and measurement blind spots and recommend how to close them

Requirements:

• 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 and prioritise multiple priorities with minimal oversight
• Strong stakeholder management skills, including experience partnering with business leaders and presenting recommendations to senior leadership
• Experience leading discovery sessions, gathering requirements, and translating business needs into actionable plans and solutions
• 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
• 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