Apply on Employer Site

University of Illinois System · 23 hours ago

AI Analyst - Hybrid/Remote

Urbana, IL

Full-time

Hybrid

Entry Level

$80K/yr - $90K/yr

2+ years exp

The University of Illinois System is seeking an AI Analyst within their Administrative Information Technology Services (AITS) to bridge the gap between business stakeholders and technical teams. The role involves supporting AI initiatives from discovery to deployment, evaluating data needs, and providing actionable recommendations to ensure successful AI outcomes.

Higher Education

No H1B

Responsibilities

Meet with business stakeholders to provide education on AI capabilities, limitations, and appropriate use cases

Evaluate existing client processes and datasets to identify opportunities for AI solutions to improve efficiency, accuracy, service quality, or decision-making

Assist in determining the level of ROI and development complexity to assess the viability and priority of moving forward with a given solution

Translate technical findings into clear, actionable insights and recommendations for non-technical audiences

Assess data privacy, data sensitivity, and risk considerations for proposed solutions, in collaboration with data privacy and security teams

Provide training, guidance, and support to teams, both internal and external, adopting AI tools and solutions

Track and report on AI project progress, value realization, and performance metrics

Assist in preparing training and evaluation datasets and in validating model outputs with subject-matter experts

Collaborate with data scientists, developers, and business partners to translate business problems into AI functional and technical requirements

Support the design, testing, and deployment of AI solutions

Document AI use cases, workflows, logic, parameters, and expected outcomes in a clear and reusable format

Assist in user acceptance testing, quality assurance, and deployment for new AI solutions, break fixes, or enhancements

Help ensure AI solutions comply with company policies, data security, and privacy standards (e.g., FERPA, HIPAA, data classification), and ethical/responsible AI guidelines

Maintain documentation related to governance, model validation, and monitoring efforts

Support incident investigations, risk reviews, and issue triage involving AI systems

Once relevant training and experience have been obtained, support production activities associated with AI solutions. This may require evening or weekend hours, depending on the business criticality of the solution

Provide support for testing, configuration, and maintenance needed for scheduled upgrades and outages

Serve as a point of contact between business users and technical teams for AI-related questions, issues, and enhancement requests

Stay current with emerging AI capabilities, tools, and best practices, especially as they relate to higher education

Participate in communities of practice, demonstrations, and knowledge-sharing activities

Perform other duties as assigned that are appropriate for an AI Analyst

Qualification

AI conceptsBusiness analysisRequirements gatheringCloud AI platformsTechnical knowledge ERPData privacy awarenessMachine learningProcess mappingInterpersonal communicationProblem-solving skillsAdaptabilityProject management

Required

High school diploma or equivalent

Any one or any combination totaling two (2) years (24 months) from the following categories: College coursework which includes Information Technology (IT), IT Management, Programming, IT systems, or a closely related discipline, as measured by the following conversion table or its proportional equivalent: 30 semester hours equals one (1) year (12 months), Associate's Degree (60 semester hours) equals eighteen months (18 months), 90 semester hours equals two (2) years (24 months), Bachelor's Degree (120 semester hours) equals three (3) years (36 months)

Work experience in IT-related functions, such as hardware/software support, programming, network design, network engineering, IT systems integration, or closely related field

Strong skills in business analysis, including requirements gathering, process mapping, and documenting use cases

Excellent verbal, written, and interpersonal communication skills, including the ability to present complex topics to non-technical audiences

Strong project, analysis, problem-solving, testing, and research skills

Ability to quickly learn new technology and adapt to evolving tools and platforms

Demonstrated ability to manage and prioritize multiple tasks and to work with shifting priorities and schedules

Working knowledge of AI concepts such as machine learning, large language models, NLP, copilots, and automation

Familiarity with prompt-based interactions and chat-style AI tools (e.g., ChatGPT, Microsoft Copilot, or similar)

Familiarity with LLMs, prompt engineering, and automated decisioning systems

Experience with cloud AI platforms and services (e.g., Azure AI Services, Google AI Studio, Google Vertex, AWS Bedrock, AWS SageMaker), low-code/no-code automation tools, or enterprise RPA platforms

Understanding of AI governance, fairness, and model validation practices

Familiarity with University of Illinois systems and services

Technical knowledge working with ERP systems

Awareness of data privacy, security, and accessibility considerations in a higher-education environment, and willingness to work within established policies and standards