AI Program Manager
RemoteUnited States
Job Summary
Own the AI-enabled PMO program end to end, from use-case intake through rollout and adoption. Identify high-impact AI use cases across Professional Services workflows and build the ROI case. Deliver billable client engagements while applying AI-enabled PMO capabilities in the field. Lead AI enablement and training for Professional Services, PMO, and OPS teams. Govern AI outputs, standards, evaluation, and reconciliation before rollout. Run program cadence including backlog management, stakeholder alignment, status updates, and reporting. This role bridges emerging AI capabilities with program and project management for billable delivery. You will translate complex AI concepts into decision-ready plans for internal stakeholders and clients. The position requires 6–8+ years in program/project management and client-facing delivery in a professional services environment.
Required Qualifications
- Bachelor's degree (business or technical). Equivalent work experience will be accepted in place of the education requirement.
- 6–8+ years in program/project management (PMP), leading cross-functional programs end to end.
- Client-facing delivery in a professional services / consulting environment, comfortable carrying a utilization/billable target.
- Stakeholder management across technical and non-technical audiences, up to executive level.
- Agile and traditional delivery fluency (Scrum/Kanban, waterfall/hybrid) with PM tooling (MS Project, Wrike, ClickUp, Monday, Smartsheet, or equivalent).
- Strong KPI/ROI and metrics discipline — able to define, measure, and report program value.
- Working understanding of AI/GenAI, with excellent written, verbal, and executive presentation skills
- Travel is required: Yes – Approximately 20%
- AI/GenAI fluency — practical grasp of LLMs, AI agents, and AI-enabled PMO/automation tools, including where AI fails.
- Prompt engineering — structured prompts that generate plans, documentation, analysis, and decision materials.
- Data literacy — what data exists, how AI uses it, and the data-quality, privacy, and security implications.
- Responsible AI — working knowledge of AI ethics, bias, governance, and emerging regulation.
- AI across the delivery lifecycle — planning, risk, status, reporting, and knowledge capture.
- Change management & AI adoption — moving teams from pilot to scaled adoption.
Desired Qualifications
- PMP, PMI-ACP, or CSM certification a plus.
- AI/GenAI certification (PMI GenAI for PMs, 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 (aligned with Precisely's portfolio).
- Familiarity with AI agents / agentic workflows and AI governance frameworks (e.g., NIST AI RMF).
- Consulting experience translating AI strategy into client-facing roadmaps.
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