AI Program Manager

Precisely US Jobs
Remote

About The Position

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. Overview: The AI Program Manager drives delivery and adoption of Precisely’s AI-enabled PMO tool across Professional Services, bridging emerging AI capabilities with the program and project management that runs billable delivery. This is a billable, client-facing role: alongside owning the internal program end to end, the AI Program Manager leads client engagements, carries a target utilization rate, and translates complex AI concepts into decision-ready plans for both internal stakeholders and clients.

Requirements

  • 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; PMP, PMI-ACP, or CSM certification a plus.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Own the AI-enabled PMO program end to end — from use-case intake through rollout and adoption.
  • Identify high-impact AI use cases across PS workflows and build the ROI case (hours saved, margin).
  • Deliver billable client engagements, applying AI-enabled PMO capabilities in the field.
  • Lead AI enablement and training for Professional Services, PMO and OPS.
  • Govern AI outputs , standards, evaluation, and reconciliation before rollout.
  • Run program cadence: backlog, stakeholder alignment, status, and reporting.
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