DESCRIPTION
The AI Program and Enablement Specialist will support the University of
California Office of the President (UCOP) AI and Automation program within Digital Innovation and
Technology
(DigIT). Working directly with the Product Manager for Automation and AI, this
role
advances program delivery, staff enablement, and adoption of enterprise AI
tools across
UCOP. Core focus areas include creating and maintaining program artifacts,
supporting
program operations, and driving staff engagement. This is a remote position
reporting
within DigIT, with a contract engagement subject to extension should the demand
exist.
Contract Details
• Duration: 12 months with potential for extension
• Start date: Immediate
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
peerlearning programs that grow AI adoption across UCOP.
• 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.
• Familiarity with higher education, the public sector, or the University of
California environment.
• 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
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