Enrollment Technology Analyst, Intermediate

Enrollment Technology Analyst, Intermediate Special Information

• This position is an on-site position which requires the incumbent to complete their work primarily at an NAU site, campus, or facility with or without accommodation. Opportunities for remote work are rare.
• Driving a vehicle on behalf of the university is anticipated to be a regular part of this position. Arizona Administrative Code Fleet Safety Policy requires all employees who drive on university business become authorized by submitting Driver's license information for driving record monitoring, and completion of training appropriate to the level of driving performed. The law applies to all faculty, staff, and students who drive personal or university-owned motorized vehicles for any business purpose.
  
  More information on the NAU Authorized Driver Policy can be found on the NAU website.

AI is rapidly reshaping higher education and marketing. By utilizing AI appropriately, we can enhance student experiences, boost efficiency, and unlock insights by analyzing data quickly. The AI Innovation team is dedicated to authenticity and human impact; using AI with oversight to keep NAU's voice human and amplifying our expertise. Our vision is to accelerate AI adoption across the Strategic Enrollment and Marketing division to complement our team's skills, improve enrollment outcomes and empower operational excellence while ensuring responsible and ethical use.

The AI Innovation team is seeking a collaborative and forward-thinking professional to support NAU's enterprise adoption of artificial intelligence technologies. This position plays a blended role as an AI solutions analyst, implementation specialist, and consultant. The incumbent assesses emerging AI capabilities, assists departments in identifying high-value use cases, and helps design, implement, and operationalize AI-driven workflows across enrollment, marketing, and administrative operations.

Key responsibilities include developing and optimizing agentic AI workflows, supporting AI-enabled automations that reduce staff workload, integrating AI features within CRM and enterprise systems, evaluating AI vendors and platforms, and contributing to responsible AI governance and training. The ideal candidate will possess strong prompt-engineering skills, intermediate technical implementation ability, and a user-centered, ethical approach to enterprise AI adoption.

This role directly supports university goals by improving efficiency, enhancing service delivery, and ensuring NAU remains at the forefront of responsible AI innovation.

• Build, configure, and deploy AI-enabled automations using tools such as Zapier and CRM-embedded AI capabilities.
• Integrate AI functionality into platforms such as Salesforce (Einstein, Marketing Cloud, agentic tools), enterprise LLM systems (Copilot, ChatGPT, Gemini), and other approved AI services.
• Perform intermediate-level Python scripting, API integration, and automation development to support AI-driven processes.
• Evaluate and improve operational workflows through prompt engineering, model output refinement, and iterative experimentation.
• Partner with IT, security, and data teams to ensure integrations meet architectural, privacy, and compliance standards.

• Conduct ongoing monitoring and evaluation of AI systems to ensure accuracy, reliability, accessibility, and alignment with university values.
• Develop and maintain evaluation frameworks for model performance, agent behavior, error patterns, hallucination risks, and overall workflow stability.
• Assist in developing lightweight AI product components such as fine-tuned models, RAG workflows, and specialized agents to support enrollment, marketing, and student services.
• Provide analysis of workflow efficiency, usage trends, and realized impact-such as workload reduction and ROI improvements-based on pre-defined performance metrics.
• Support iterative refinement of enterprise AI solutions based on user feedback and operational data.