AI Analyst - Hybrid​/Remote

AITS Admin

Hybrid/Remote

Sponsorship for Work authorization is not available for this position.

The AI Analyst within Administrative Information Technology Services (AITS) acts as a bridge between business stakeholders and technical teams, guiding units in understanding AI capabilities and identifying high‑value automation opportunities. The role supports the full lifecycle of AI initiatives from use‑case discovery and requirements definition to solution design, testing, deployment, and ongoing support. The analyst evaluates data needs, translates business objectives into clear functional requirements, and delivers actionable recommendations to ensure successful AI outcomes.

The position also maintains awareness of emerging technologies, contributes to knowledge‑sharing efforts, and supports continuous improvement of AI practices across the organization.

• Business Engagement (25%)
  • Meet with business stakeholders to provide education on AI capabilities, limitations, and appropriate use cases.
  • Evaluate existing processes and datasets to identify opportunities for AI solutions to improve efficiency, accuracy, service quality, or decision‑making.
  • Assist in determining ROI and development complexity to assess 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, sensitivity, and risk considerations for proposed solutions in collaboration with data privacy and security teams.
  • Provide training, guidance, and support to internal and external teams 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.
• Solution Design & Implementation (40%)
  • 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.
• Governance & Risk Management (10%)
  • 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.
• Support (15%)
  • Support production activities associated with AI solutions, which may require evening or weekend hours depending on business criticality.
  • 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.
• Other duties (10%)
  • 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.

• Minimum education:
  
  High school diploma or equivalent.
• Two (2) years of experience in IT‑related functions or college coursework in IT, IT management, programming, or related disciplines as outlined in the conversion table below.
• Preferred:
  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, including process mapping and use‑case documentation.
• Excellent verbal, written, and interpersonal communication skills.
• Strong project, analysis, problem‑solving, testing, and research skills.
• Ability to quickly learn new technology and adapt to evolving tools…