Bachelor's degree in computer science, business, or related field from an accredited institution. Three years of experience in related role. Demonstrated professional growth through certifications such as Certified Scrum Master (CSM), Certified Scrum Product Owner (CSPO), Scaled Agile Framework (SAFe), Agile certifications, ITIL Foundation or higher, Six Sigma, International Institute of Business Analysis (IIBA), Certification of Competency in Business Analysis (CCBA), Project Management Institute Certified Associate in Project Management (PMI CAPM), PMI Agile Certified Practitioner (PMI ACP), or Project Management Professional (PMP). A combination of education, experience, and training that would produce the required knowledge and abilities could be considered.

Serves as dynamic leader, solving highly complex university challenges by creating innovative software solutions that improve user experience, boost efficiency, and support the university's goals. Manages the entire development process, from design to deployment, with a focus on using AI and machine learning.

Creates and manages software solutions using Artificial Intelligence (AI), machine learning, various programming languages (like Java, .Net, PHP), SQL, XML, JSON, declarative programming, and web scripting. Designs technical solutions based on requirements. Leads the development of best practices for AI and automation, ensuring ethical use. Helps create guidelines and technical documentation for programming staff. Builds partnerships with campus leaders, industry experts, technology vendors, and research groups to stay updated on technology trends and campus needs. Coordinates with data owners, data custodians, consultants, and IT staff to address campus technology needs. Manages the creation of technical requirements and testing plans for software development. Troubleshoots and fixes issues with databases and applications like Banner and Salesforce. Handles data migration and job operations, and writes specifications and timelines for projects. Reviews new programs and maintains data for testing and development. Automates processes when possible. Engages with the university community and external stakeholders to promote AI and automation. Develops training programs and workshops for staff, faculty, and students, and provides ongoing support. Organizes events to showcase projects and gather feedback. Monitors and assesses the performance and impact of solutions, using feedback to improve guidelines, policies, and training materials to enhance teaching, research, and administrative processes. Performs other related duties as assigned.