AI Enablement Consultant

About Carnegie Mellon University Computing Services

The Computing Services central IT department at Carnegie Mellon University provides services that strategically impact university goals. We prioritize service decisions based on valuable input from colleagues engaged in the education, research, and administration efforts across the university. As a learning organization, we embrace both successes and mistakes as learning experiences, continually cultivating a culture of intelligent risk-taking. We are seeking versatile team members who are inspired and passionate about their work. Join us and be part of a team committed to excellence, innovation, diversity, and both team and individual growth.

Role Overview: AI Enablement Consultant

The AI Enablement Consultant plays a key role in developing and delivering AI enablement efforts. This position drives innovation and measurable gains in productivity, efficiency, and outcomes across academic, administrative, and operational areas by supporting the adoption of AI by university stakeholders. The AI Enablement Consultant will work closely with cross-functional teams to support Computing Services’ implementation of AI strategies and roadmaps that align with overall goals and objectives for the university’s AI initiatives.

Core Responsibilities

• Participate as a key member of the Computing Services AI Enablement Team, responsible for defining and communicating the AI service vision, strategy, and roadmap to stakeholders.
• Collaborate with cross-functional teams across the division and university to implement high-quality AI enablement activities that meet stakeholder needs and identify opportunities for AI-enabled projects, use-cases, and initiatives.
• Consult with campus partners to translate AI capabilities and business needs into practical workflows; facilitate use-case discovery, readiness discussions, applied problem framing, and requirements gathering.
• Document business processes and workflows (current-state and future-state), including constraints, decision points, adoption requirements, and AI opportunities.
• Serve as a subject matter expert on AI tools available to staff, faculty, and students; develop and deliver training, guidance, and educational materials on tool usage and best practices.
• Partner with product and vendor management teams to provide input on capabilities and priorities and to communicate AI tool updates and guidance to campus stakeholders.
• Serve as an escalated support resource for the AI service catalog, addressing advanced inquiries, troubleshooting complex issues, and ensuring timely resolution in collaboration with technical and service teams.
• Create and maintain AI product and service documentation including, but not limited to, web content, risk and issue logs, program and project materials, and enablement toolkits.
• Lead and develop education and outreach initiatives; participate in the facilitation of upskilling and training initiatives, including the Generative AI Center of Excellence workshop, targeted training sessions, executive enablement, and Community of Practice events.
• Coordinate and support change enablement activities that help sustain adoption (stakeholder engagement, communications support, reinforcement planning, feedback loops).
• Conduct market research and analysis to identify market trends and stakeholder needs.
• Define and analyze metrics to measure AI services adoption and success.
• Develop and maintain relationships with key stakeholders, including customers, vendors, and partners.

Effort Distribution

• 15% – Contribute to the development and communication of the AI service vision, strategy, and roadmap, including standards, playbooks, and measurement approaches.
• 55% – Advise and partner with campus units to identify, prioritize, and implement AI use-cases; facilitate discovery and readiness sessions; document workflows and requirements; and support adoption.
• 25% – Design and deliver applied upskilling experiences (workshops, training sessions, office hours, guidance) that build capability and confidence with AI tools and practices.
• 5% – Work with external organizations or projects that enhance the university's reputation or support individual professional development.

Qualifications

A Bachelor's Degree or an equivalent combination of education and experience is required. Progressively responsible experience supporting product or service delivery in a complex, educational, or technical environment is essential. Experience working on AI-related services, including supporting the rollout, adoption, or integration of AI tools or platforms, is also required. Experience facilitating training and enablement and documenting workflows and requirements is preferred. A foundational understanding of IT service management methodologies such as ITIL, along with experience in business requirements gathering and translating business challenges into innovation opportunities, are critical.

Licenses/Certifications

• ITIL Foundations
• Cloud / AI (AWS ML Specialty, Google Cloud ML, or Responsible AI Institute)
• Process Improvement (e.g., Lean / Six Sigma)

Key Skills/Competency

• AI Enablement
• AI Strategy
• Stakeholder Collaboration
• Workflow Documentation
• Training Delivery
• IT Service Management (ITIL)
• Use Case Discovery
• Change Management
• Market Research
• Metric Analysis