AI Program and Enablement Specialist

Role: AI Program and Enablement Specialist

Location: Remote

Position Overview

 Working directly with the Product Manager for Automation and AI, this role advances program delivery, staff enablement, and adoption of enterprise AI tools across Client. Core focus areas include creating and maintaining program artifacts, supporting program operations, and driving staff engagement. This is a remote position.

Key Responsibilities:

Program Operations and Coordination

•            Create, maintain, and version program artifacts (charters, roadmaps, intake forms, process maps, presentations, and reporting templates) that keep the AI and

•            Automation program organized and delivery-ready.

•            Support and drive the product backlog, including intake triage, prioritization, status tracking, and coordination of hand-offs so work moves from request to delivery without stalling.

•            Help support the Enterprise Intake Management process, including prioritization, research, and customer engagement.

•            Coordinate agendas, action items, schedules, and follow-ups across program workstreams and stakeholders to keep initiatives on track.

•            Governance, Standards, and Risk Support

•            Support the development and upkeep of AI governance materials, including acceptable use standards, guardrails by risk level, and intake and review processes.

•            Assist with AI use case reviews and risk assessments, preparing documentation for security, privacy, and leadership review.

•            Maintain templates and standards that ensure consistency, compliance, and brand alignment across program deliverables.

•            AI Adoption and Enablement

•            Support delivery of workshops, office hours, and enablement sessions that build staff proficiency with enterprise AI tools such as ChatGPT EDU, Microsoft 365 Copilot, and Box AI.

•            Drive staff engagement through communications, onboarding materials, and peer learning programs that grow AI adoption.

•            Gather feedback and usage insights to identify friction points and improve enablement resources over time.

Minimum Qualifications

•            Bachelor's degree in Information Technology, Computer Science, a related field, or an equivalent combination of education and experience.

•            Three or more years of experience delivering enterprise AI and software lifecycle (SDLC) initiatives from intake through implementation and operational hand-off.

•            Experience creating and maintaining program artifacts such as charters, roadmaps, process maps, intake forms, and executive-ready reporting.

•            Experience managing a program or project backlog, including intake triage, prioritization, and status tracking.

•            Familiarity with enterprise AI platforms (for example, ChatGPT EDU, Microsoft 365 Copilot, and Box AI) and their use within a large organization.

•            Strong written and verbal communication skills, with the ability to produce clear documentation and engage staff across varying levels of technical fluency.

•            Demonstrated ability to work independently and collaboratively in a remote, Cross functional environment.

Preferred Qualifications

•            Experience supporting AI governance, standards, or risk and review processes in an enterprise or public sector setting.

•            Experience delivering training, workshops, or change-management programs that drive staff adoption of new tools.

•            Experience with tools such as Smartsheet, SharePoint, or Atlassian (Jira and Confluence) for program tracking and collaboration.

•            Experience building AI agents, integrating AI APIs, and developing Model Context Protocol (MCP) servers or connectors.

•            Experience automating end-to-end business processes using RPA or agent-building platforms such as Power Automate, Copilot Studio, or Automation Anywhere.

•            Working knowledge of Python or a similar language for integrations, data processing, and prototyping.

•            Ability to independently scope and deliver a small technical project, from requirements through a working prototype or minimum viable solution.