AI Analyst - Hybrid​/Remote

AI Analyst – Hybrid/Remote

University of Illinois Urbana‑Champaign

Sponsorship for work authorization is not available for this position.

The AI Analyst within Administrative Information Technology Services (AITS) acts as a critical bridge between business stakeholders and technical teams, guiding units in understanding AI capabilities and identifying high‑value automation opportunities. This role supports the full lifecycle of AI initiatives from use case discovery and requirements definition to solution design, testing, deployment, and ongoing support. It also maintains awareness of emerging technologies, contributes to knowledge‑sharing efforts, and supports continuous improvement of AI practices across the organization.

• 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, bug 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.
• Provide production support for AI solutions, including evening or weekend hours when necessary.
• Provide support for testing, configuration, and maintenance required 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.

• High school diploma or equivalent.
• Any one or any combination totaling two (2) years (24 months) from the following categories:
• College coursework in IT, IT management, programming, or related discipline. Conversion table: 30 semester hours = 1 year, 60 semester hours = 1.5 years, 90 semester hours = 2 years.
• Work experience in IT‑related functions such as hardware/software support, programming, network design, or systems integration.

• Bachelor’s degree in a technical field.
• Experience as an analyst for automated solutions.
• Experience with requirements gathering and business process improvement.
• Experience contributing to AI, machine learning, or data analytics projects.

• Strong business analysis skills: requirements gathering, process mapping, and use‑case documentation.
• Excellent verbal, written, and interpersonal communication. Ability to present complex topics to non‑technical audiences.
• Strong project, analysis, problem‑solving, testing, and research skills.
• Ability to…