AI Program Manager

Role overview Drive delivery and adoption of an AI-enabled program management capability across a professional services organization. This is a hybrid role combining internal program ownership with billable, client-facing consulting work — translating emerging AI capabilities into decision-ready plans and leading AI adoption across delivery teams.

Responsibilities - Own the AI-enabled PMO program end to end, from use-case intake through rollout and adoption - Identify high-impact AI opportunities across professional services workflows and build the business case (hours saved, margin uplift) - Lead billable client engagements, applying AI-enabled PMO capabilities in the field - Run AI enablement and training for professional services, PMO, and operations staff - Govern AI outputs, standards, evaluation, and reconciliation before rollout - Manage program cadence: backlog, stakeholder alignment, status updates, and reporting

Requirements - Bachelor's degree in a business or technical field (or equivalent work experience) - 6–8+ years leading cross-functional programs end to end, ideally with PMP-level rigor - Client-facing delivery experience in professional services or consulting, comfortable carrying a utilization/billable target - Stakeholder management across technical and non-technical audiences, including executive-level communication - Fluency in Agile and traditional delivery (Scrum/Kanban, waterfall, hybrid) with PM tooling such as MS Project, Wrike, ClickUp, Monday, Smartsheet, or equivalent - Strong KPI/ROI discipline — able to define, measure, and report program value - Working understanding of AI/GenAI, including LLMs, AI agents, and AI-enabled PMO/automation tools; PMP, PMI-ACP, or CSM certification a plus - Willingness to travel approximately 20%

Nice to have - AI/GenAI certification (for example PMI GenAI for PMs or an applied-AI or responsible-AI credential) - Prior experience standing up an internal AI/automation program or PMO transformation and measuring its ROI - Background in data management, data integrity, or analytics delivery - Familiarity with AI agents, agentic workflows, and AI governance frameworks such as NIST AI RMF - Consulting experience translating AI strategy into client-facing roadmaps

Benefits and work setup - 100% remote within the US - AI-first culture with daily use of generative AI tools (such as Microsoft Copilot or ChatGPT) to accelerate work