AI Discovery Analyst at The University of Texas at Austin

  • Company: The University of Texas at Austin
  • Location: Texas
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-10-30

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Job description

Job Posting Title: AI Discovery Analyst ---- Hiring Department: Technology Resources ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: Texas ---- Job Details: General Notes Your skills will make a difference. You’ll be working for a university that is internationally recognized for our academic programs and research. Your work will make a difference in the lives of university staff, thereby enhancing the student experience. If you’re the type of person that wants to know your work has meaning and impact, you’ll like working in our department and for UT Austin. UT Austin provides an outstanding benefits package including but not limited to: Competitive health benefits (employee premiums covered at 100%, family premiums at 50%) Voluntary Vision, Dental, Life, and Disability insurance options Generous paid vacation, sick time, and holidays Teachers Retirement System of Texas: a defined benefit retirement plan Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and museums with staff ID card Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on an ongoing, full-time basis for any employer without sponsorship. At Technology Resources (TRecs) our goal is to provide our clients with information technology that enables the units to better serve the campus. Our objective is to provide secure, reliable, and responsive IT systems, solutions, and support. For more information on Technology Resources, please visit: https://business.financials.utexas.edu/trecs Purpose This role partners with Financial and Administrative Services (FAS) business units to identify, evaluate and implement opportunities for AI-enabled improvements. As the primary liaison between the FAS AI Team and business staff, this role builds relationships, examines business processes, identifies pain points, and determines where AI tools can improve efficiency, accuracy, and service delivery. This position requires strong facilitation skills, intellectual curiosity, and the ability to translate between business needs and technology possibilities. Responsibilities Business Unit Engagement and Opportunity Discovery . Partner with assigned FAS units to understand their processes, priorities, and challenges. Facilitate structured discussions and process reviews to identify opportunities to improve efficiency, accuracy, and service delivery through AI. Use Case Development, Evaluation, Implementation, and Governance . Help business units develop proposals aligned with the FAS AI Governance Framework, documenting the business problem, proposed solution, data requirements, expected outcomes, support implementation, and governance considerations. Evaluate proposals based on business impact, feasibility, risk, and FAS priorities, and apply the FAS AI Principles and Guidelines to ensure compliance before advancing. AI Tool Proficiency and Business User Support . Maintain working proficiency in enterprise AI tools including Claude Edu, ChatGPT Edu, and Microsoft Copilot. Guide business users in selection of appropriate tools and effective usage within their specific workflows. Documentation, Knowledge Sharing, and Referrals . Record findings, use cases, decisions, and outcomes. Share lessons across FAS units to encourage reuse and reduce duplicated effort. Identify and document improvement opp

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