Specialist, AI Enablement

ASU Enterprise Partners•Scottsdale, AZ

9d•Hybrid

About The Position

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). Situated within the Technology Operations & Service Excellence team, this role serves as a central connector between business stakeholders, Data Governance, central ASU partners, and technical teams—helping translate emerging AI capabilities into usable, value driven solutions. This role blends service center execution with proactive enablement and communication. The Specialist supports AI requests, develops shared standards and processes for AI tool adoption, builds AI fluency across the organization, and helps ensure that AI use at ASUEP is compliant, ethical, and aligned with institutional priorities.

Requirements

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).

Nice To Haves

Experience in higher education, public sector, or a complex enterprise environment.
Prior experience delivering group training sessions, workshops, or enablement programs.
Exposure to AI governance, data governance, responsible AI practices, privacy, or risk management frameworks.
Strong curiosity and learning mindset, with the ability to stay current on emerging AI tools and industry trends.
Ability to support change adoption and influence usage through education, storytelling, and clear communication.
Experience developing or maintaining standards, intake processes, or tool catalogs (“menus”).
Comfort working at the intersection of operations, governance, and innovation.
Ability to identify patterns and opportunities to improve service delivery, enablement, and self‑service.

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.
Help 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.
Act as the primary conduit between ASUEP and ASU’s AI Acceleration Lab.
Scan the external AI landscape and make informed recommendations on emerging tools and practices relevant to ASUEP.