​​Specialist, AI Enablement​

About the role

The Specialist, AI Enablement plays a key role in advancing ASUEP's mission to drive innovation and operational excellence through the responsible, practical adoption of artificial intelligence (AI).

Responsibilities

• Serve as a primary point of contact for AI-related questions, ideas, and requests from ASUEP stakeholders.
• Proactively partner with business units to understand workflows and recommend practical ways AI can improve efficiency, quality, and effectiveness.
• Translate business needs into actionable AI use cases, collaborating with technical teams and central ASU partners where appropriate.
• Build trusted relationships across ASUEP to support thoughtful experimentation and adoption of AI capabilities.
• Serve as a key contributor and coordinator of the evaluation, stewardship, and responsible adoption of AI tools across ASUEP.
• Maintain and communicate a standard menu of approved AI tools, along with a clear, lightweight process for requesting new tools or use cases, including guidance on appropriate use, limitations, and review pathways in partnership with business stakeholders, Data Governance, and IT.
• Evaluate and vet proposed AI tools for value, feasibility, usability, risk, and policy alignment.
• Oversee operational aspects of AI tool access and licensing, including coordination with vendors and internal partners to support effective administration and lifecycle management.
• Serve as an advisor to stakeholders navigating tool selection and approval pathways.
• Design and deliver organization-wide and targeted AI training sessions for varying levels of technical comfort and use.
• Create and maintain enablement materials such as job aids, FAQs, and best practice guidance related to AI and adjacent tools.
• Pitch and facilitate ideation around new AI use cases to encourage innovation and continuous improvement.
• Support adoption by demystifying AI concepts and reinforcing responsible usage norms.
• Provide Level 1–2 support for AI-related requests through the service center, ensuring timely and high quality resolutions.
• Provide auxiliary support to teams using AI within broader initiatives or workstreams.
• Document common issues, solutions, and opportunities to improve self-service and service center workflows.
• Serve as a close partner to Data Governance and Information Security in developing, implementing, and reinforcing AI use policies and standards.
• Support scanning, alerting, and basic auditing efforts to promote responsible and compliant AI usage.
• Translate governance requirements into clear, accessible guidance for end users.
• Develop and deliver regular communications to partners across ASUEP highlighting how ASUEP and its affiliates are innovating with AI, including success stories, emerging tools, and usage patterns.
• Serve as a point person for sharing lessons learned and promoting visibility into AI-enabled work across the organization.
• Scan the external AI landscape and make informed recommendations on emerging tools and practices relevant to ASUEP.

Qualifications

• Ability to translate technical or emerging technology concepts into clear, actionable guidance for non-technical audiences.
• Strong stakeholder partnership and service orientation, with demonstrated ability to work across diverse teams and functions.
• Excellent written and verbal communication skills, including experience creating training materials, guidance, or user communications.
• Sound judgment and discretion when working with sensitive data, new technologies, and evolving policy or governance frameworks.
• Strong analytical and problem-solving skills, with the ability to assess tools, identify use cases, and recommend practical solutions.
• Ability to manage multiple requests or initiatives simultaneously while delivering high-quality, timely support.
• Ability to maintain confidentiality and responsibly handle sensitive institutional and constituent data.
• Alignment with ASU’s mission and vision as the New American University.
• Bachelor’s degree in information systems, data, technology, business, or a related field; or an equivalent combination of education and professional experience.
• Two (2) or more years of professional experience in technology enablement, service operations, analytics support, automation, or a related technology-adjacent role.
• Demonstrated experience supporting, enabling, or operationalizing AI, automation, analytics, or emerging technology tools in a stakeholder-facing environment.
• Experience working with generative AI tools (e.g., copilots, chat-based AI, AI agents or agentic frameworks, and workflow automation platforms).