technologies that support competency based, outcomes driven veterinary education across pre clinical, clinical, and experiential learning environments.
Instructional and assessment technologies supported by this position include learning management systems, programmatic assessment platforms, curricular and accreditation management systems, learning analytics tools, and simulation and immersive learning technologies.
This role combines educational technology leadership, faculty development, and hands on technical expertise. The successful candidate will collaborate closely with faculty, staff, and students to ensure thoughtful adoption of educational technologies and will contribute to shaping the College's approach to ethical, effective, and pedagogically sound use of artificial intelligence in veterinary education, ensuring alignment with professional expectations for clinical reasoning, lifelong learning, and patient care.
Required Qualifications
- Bachelor's degree with significant experience in educational technology, instructional technology, computer information systems, or a related field, preferably within higher education, medical/veterinary education, or clinical/hospital information systems.
- Excellent written, oral, and problem solving skills, with a collaborative and consultative approach.
- Demonstrated leadership and systems level thinking in educational or information technology environments.
- Proven ability to assess and respond to faculty and learner needs in a complex academic or clinical education setting.
- Strong communication skills, including the ability to translate technology strategy and complex technical concepts for non technical audiences.
- Experience supporting or implementing learning management systems, assessment platforms, or curriculum/academic information systems.
- Clear awareness of emerging trends in educational technology, learning analytics, and AI supported education.
- Experience working across multiple computing platforms, operating systems, and software environments.
Preferred Qualifications
Pay Band
5
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
Salary commensurate with Experience
Hours per week
40+
Review Date
August 10, 2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
