AI Program Manager
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Job Description
AI Program Manager responsible for leading PMI’s AI initiatives and governance. Translating enterprise AI priorities into actionable portfolios and ensuring successful delivery and adoption.
Responsibilities:
- Lead the execution of PMI’s enterprise AI delivery and governance capability.
- Translate enterprise AI priorities into an actionable, governed portfolio of initiatives.
- Move AI efforts from strategy through delivery, adoption, and value realization.
- Provide end-to-end leadership for PMI’s AI portfolio.
- Oversee program governance, cross-functional dependencies, risks, and benefits realization.
- Directly lead enterprise AI initiatives and shared capabilities serving multiple functions.
- Establish and maintain the governance framework, delivery standards, and reporting structures that support AI work across PMI.
Requirements:
- Bachelor’s degree in business, project management, information systems, computer science, engineering, analytics, data science, operations, or a related field (required).
- Proficiency in the business language for PMI (English) (required).
- 7+ years of project, program, or transformation management experience, including enterprise-scale cross-functional delivery.
- 5+ years leading AI, analytics, data, automation, or digital transformation initiatives.
- Demonstrated experience in roadmap planning and execution, governance and risk management, and benefits realization/value tracking.
- Experience translating strategic objectives into integrated delivery plans with clear business outcomes, stakeholder alignment, dependency management, and executive-ready reporting.
- Experience supporting senior governance forums or steering committees by preparing materials, maintaining decision and action logs, and coordinating follow-through across multiple owners.
- Experience working effectively in matrixed organizations and leading across multiple teams toward a shared value agenda.
- Strong project/program management across scope, schedule, budget, risk, governance, and executive reporting.
- Working knowledge of AI delivery concepts, including use case prioritization, data readiness, model lifecycle considerations, deployment dependencies, and AI-related risk.
- Strong business acumen with the ability to connect delivery decisions to measurable value, adoption, and operational impact.
- Proven ability to lead or coordinate a network of project managers across a matrix or PMO and consolidate multi-workstream status into executive- and board-ready portfolio reporting.
- Ability to operate effectively in ambiguous, emerging-technology environments while maintaining structure, momentum, and accountability.
- Excellent communication, facilitation, presentation, and stakeholder management skills, including experience supporting senior executives and steering forums.
- Experience with agile or hybrid delivery methods and the ability to tailor ways of working to AI initiative maturity and risk profile.
- PMP required; PMI-CPMAI™ and/or PMI-ACP strongly preferred; responsible AI or AI project management training preferred.
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