Arizona State University
Public research university in Tempe, AZ
AI Enablement Specialist - AI Enablement
Full-Time
No salary listed
Junior
Bachelor's
Scottsdale, AZ, USA
Hybrid
Hybrid schedule with two days working from home per week.
Company Does Not Provide H1B Sponsorship
About the job
Requirements
- The candidate must be able to translate technical or emerging technology concepts into clear, actionable guidance for non-technical audiences.
- The candidate must have strong stakeholder partnership and service orientation, with the ability to work across diverse teams and functions.
- The candidate must have excellent written and verbal communication skills, including experience creating training materials, guidance, or user communications.
- The candidate must exercise sound judgment and discretion when working with sensitive data, new technologies, and evolving policy or governance frameworks.
- The candidate must have strong analytical and problem-solving skills, with the ability to assess tools, identify use cases, and recommend practical solutions.
- The candidate must be able to manage multiple requests or initiatives simultaneously while delivering high-quality, timely support.
- The candidate must be able to maintain confidentiality and responsibly handle sensitive institutional and constituent data.
- The candidate must align with ASU’s mission and vision as the New American University.
- The candidate must have a bachelor's degree in information systems, data, technology, business, or a related field, or an equivalent combination of education and professional experience.
- The candidate must have two or more years of professional experience in technology enablement, service operations, analytics support, automation, or a related technology-adjacent role.
- The candidate must have demonstrated experience supporting, enabling, or operationalizing artificial intelligence, automation, analytics, or emerging technology tools in a stakeholder-facing environment.
- The candidate must have experience working with generative artificial intelligence tools, such as copilots, chat-based artificial intelligence, artificial intelligence agents or agentic frameworks, and workflow automation platforms.
Responsibilities
- Serve as a primary point of contact for artificial-intelligence-related questions, ideas, and requests from ASUEP stakeholders.
- Partner with business units to understand workflows and recommend practical ways artificial intelligence can improve efficiency, quality, and effectiveness.
- Translate business needs into actionable artificial intelligence use cases, collaborating with technical teams and central ASU partners where appropriate.
- Build trusted relationships across ASUEP to support thoughtful experimentation and adoption of artificial intelligence capabilities.
- Contribute to and coordinate the evaluation, stewardship, and responsible adoption of artificial intelligence tools across ASUEP.
- Maintain and communicate a standard menu of approved artificial intelligence tools and a process for requesting new tools or use cases, including guidance on appropriate use, limitations, and review pathways.
- Evaluate and vet proposed artificial intelligence tools for value, feasibility, usability, risk, and policy alignment.
- Oversee operational aspects of artificial intelligence tool access and licensing, including coordination with vendors and internal partners to support administration and lifecycle management.
- Advise stakeholders navigating tool selection and approval pathways.
- Design and deliver organization-wide and targeted artificial intelligence training sessions for varying levels of technical comfort and use.
- Create and maintain enablement materials such as job aids, frequently asked questions, and best-practice guidance related to artificial intelligence and adjacent tools.
- Pitch and facilitate ideation around new artificial intelligence use cases to encourage innovation and continuous improvement.
- Support adoption by explaining artificial intelligence concepts and reinforcing responsible usage norms.
- Provide Level 1–2 support for artificial-intelligence-related requests through the service center, ensuring timely and high-quality resolutions.
- Provide auxiliary support to teams using artificial intelligence within broader initiatives or workstreams.
- Document common issues, solutions, and opportunities to improve self-service and service-center workflows.
- Partner with Data Governance and Information Security in developing, implementing, and reinforcing artificial intelligence use policies and standards.
- Support scanning, alerting, and basic auditing efforts to promote responsible and compliant artificial intelligence usage.
- Translate governance requirements into clear, accessible guidance for end users.
- Develop and deliver regular communications to partners across ASUEP highlighting artificial-intelligence innovation, success stories, emerging tools, and usage patterns.
- Serve as a point person for sharing lessons learned and promoting visibility into artificial-intelligence-enabled work across the organization.
- Act as the primary conduit between ASUEP and ASU’s AI Acceleration Lab.
- Scan the external artificial intelligence landscape and make informed recommendations on emerging tools and practices relevant to ASUEP.
Desired Qualifications
- Experience in higher education, public sector, or a complex enterprise environment.
- Prior experience delivering group training sessions, workshops, or enablement programs.
- Exposure to artificial intelligence governance, data governance, responsible artificial intelligence practices, privacy, or risk management frameworks.
- A strong curiosity and learning mindset, with the ability to stay current on emerging artificial intelligence 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.
- Comfort working at the intersection of operations, governance, and innovation.
- Ability to identify patterns and opportunities to improve service delivery, enablement, and self-service.
About the company
Arizona State University is a public research university with campuses across metropolitan Phoenix and extensive online programs. Its education and research span a broad range of academic fields.
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