This job was posted by https://www.azjobconnection.gov : For more
information, please see: https://www.azjobconnection.gov/jobs/7314127
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r Enrollment Technology Analyst, Intermediate
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rNorthern Arizona University
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r *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.
*About the Department/College *
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.
About the Position
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.
Responsibilities Include
A Workflow Engineering, Automation & System Integration - 30%
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.
AI Operations, Model Evaluation & Continuous Improvement - 25%
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.
AI Adoption Strategy & Enablement - 20%
Consult with departments to assess processes and identify opportunities
for AI-driven optimization, automation, and improved service delivery.
Develop and refine AI use cases, focusing on agentic workflow design,
user experience, and operational impact.
Create and maintain AI prompt libraries, workflow templates, and usage
guidelines to support consistent adoption across the university.
Support the development of enterprise AI governance artifacts including
risk assessments, usage standards, and documentation for ethical and
responsible implementation.
Collaborate with stakeholders to prioritize use cases based on
feasibility, risk,