AI Automation Analyst

The AI/Automation Analyst is an entry-level professional responsible for developing, implementing, and maintaining automation solutions that improve operational efficiency, data quality, and decision-making across the university. This position supports the adoption of artificial intelligence, robotic process automation (RPA), workflow automation, and low-code/no-code technologies to streamline administrative, academic, and compliance-related processes.

Working under the guidance of senior analysts, engineers, and institutional leaders, the position will assist in identifying automation opportunities, developing AI-enabled solutions, integrating enterprise systems, and supporting data-driven initiatives.

Major Responsibilities/Duties/Critical Tasks

Automation Development

• Design, develop, test, and maintain workflow automation solutions using Microsoft Power Platform, Copilot Studio, Power Automate, and related tools.
• Assist in developing robotic process automation (RPA) solutions to reduce manual work and improve operational efficiency.
• Create automated data collection, validation, and reporting processes.
• Support integration of data between institutional systems, cloud platforms, and third-party applications.

Artificial Intelligence Solutions

• Assist with the deployment and support of generative AI and machine learning solutions.
• Develop AI-powered tools, chatbots, virtual assistants, and intelligent agents for administrative and student support functions.
• Support prompt engineering, knowledge base development, and retrieval-augmented generation (RAG) implementations.
• Evaluate emerging AI technologies and recommend opportunities for institutional use.

Data and Analytics Support

• Collaborate with Institutional Research, Information Technology, Enrollment Management, Academic Affairs, and other operational units.
• Assist in creating automated dashboards, reports, and performance monitoring tools.
• Support data preparation, transformation, and quality assurance activities.
• Contribute to data governance, documentation, and process standardization efforts.

Business Process Improvement

• Participate in process improvement projects focused on efficiency, accuracy, and scalability.
• Document business requirements and workflow processes.
• Identify repetitive manual tasks suitable for automation.
• Assist stakeholders in implementing and adopting automation solutions.

Operational Support

• Monitor production automations and troubleshoot issues.
• Maintain technical documentation, process diagrams, and user guides.
• Participate in testing, deployment, and user training activities.
• Provide general support for enterprise automation platforms and AI initiatives., The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

• Bachelor’s degree in Computer Science, Data Analytics, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Economics, Institutional Research, or a closely related field.
• Two (2) years of related experience.

Preferred Education/Experience

• Master’s degree in a closely related field.
• One (1) year of experience in higher education data analytics, business intelligence, institutional research, or related analytical work.
• Relevant experience in software development, automation, analytics, data management, or related technical work.

Accompanying Knowledge, Skills, Abilities and Competencies

• Basic programming proficiency in Python, SQL, or other programming language.
• Ability to translate business requirements into technical solutions.
• Understanding of process automation methodologies.
• Ability to troubleshoot automation workflows and data issues.
• Knowledge of responsible AI principles, data privacy, and security practices.
• Ability to explain technical concepts to non-technical audiences.
• Demonstrated curiosity and commitment to continuous learning.
• Ability to maintain the security or integrity of critical infrastructure, which may include communications systems, computer networks and systems, cybersecurity systems, electrical grid, hazardous waste treatment or water treatment system.

The University of Texas at Tyler is part of the prestigious University of Texas System that includes 14 institutions located throughout the state. Founded in 1971, UT Tyler today enrolls 10,000 students and consists of six colleges.

Designated an R2 research institution by the Carnegie Classification of Institutions of Higher Education, UT Tyler supports our surrounding region through innovation intended to uplift communities, spearhead sustainability initiatives, preserve ecosystems and support entrepreneurship. UT Tyler has the highest Carnegie classification in East Texas.

Our beautiful Tyler campus features more than 200 acres nestled along a lake and surrounded by thick pine and oak forests, providing a picturesque location for study and recreation. We also offer instructional sites at The University of Texas Health Science Center at Tyler and in Palestine, Longview, and Houston.

With more than 80 bachelor’s, master’s and doctoral degree programs offered, UT Tyler provides a wealth of learning opportunities and dynamic programs., For more information regarding benefits offered by UT Tyler, please visit https://www.uttyler.edu/offices/human-resources/employees/benefits.