ADMINISTRATIVE SPECIALIST

Campus: Tempe • End Date: September 9, 2026

About the Role

The Learning Engineering Institute is seeking an Administrative Specialist to provide high-level administrative support to the leadership team of the institute. This role involves managing complex and sensitive responsibilities requiring discretion, strong organizational skills, and considerable independence of action. The position provides direct support to the Executive Director and leadership team, with primary responsibilities including complex calendar management, coordination of travel, and planning and execution of meetings and various events. The successful candidate will ensure leaders are well-prepared for daily activities and strategic engagements with internal and external stakeholders including senior university officials and external partners. This position requires exceptional follow-through, attention to detail, and the ability to manage multiple high-priority tasks in a fast-paced, dynamic environment.

Responsibilities

• Manage Executive Calendars: Oversee and maintain leadership calendars, coordinating schedules to ensure efficient time management and prioritization of key meetings and events.
• Coordinate Travel and Expenses: Arrange all travel logistics for the dean, including transportation and accommodation. Prepare and submit detailed travel expense reports for reimbursement.
• Stakeholder Interaction: Serve as a point of contact for high-level stakeholders, ensuring communication is handled with professionalism, tact, and confidentiality.
• Task Coordination and Follow-through: Manage multiple high-priority activities simultaneously, demonstrating strong follow-through on all projects and tasks. Clearly communicate and adhere to deadlines to ensure timely task completion.
• Prepare Meeting and Event Materials: Compile, organize, and maintain background materials and pertinent documents for meetings, events, and travel, ensuring follow-up items are tracked and completed.

Requirements

• Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR, any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Qualifications

• Bachelor’s degree in Business Administration, Education, or a related field, and four years of experience in executive support, OR eight years of directly related administrative experience.
• Familiarity with complex calendaring, travel coordination, and meeting/event planning.
• High level of maturity, sound judgment, and the ability to work independently.
• Knowledge of the ASU ecosystem and Enterprise structure.
• Experience in supporting a high-level administrator in higher education that includes calendaring and scheduling meetings.
• Experience working in a research environment.
• Evidence of effective communication skills.
• Experience in taking initiative, strong organizational skills and attention to detail.
• Experience in anticipating problems and resolving them.
• Experience in managing multiple high-priority projects in a fast-paced environment requiring considerable coordination and follow through.
• Demonstrated knowledge of academic policies and procedures.
• Computer software experience, including Microsoft Suite, Google Suite, Canva, and Adobe.
• Experience in dealing with confidential and sensitive information.

Pay

$45,000 - 65,000 per year, depending on experience.

About the Department

ASU’s Learning Engineering Institute aims to transform learning environments and experiences to empower equitable student engagement, improved learning outcomes, and success across large, varied populations of learners. Drawing on behavioral, design, computer, and data sciences, the LEI advances research and development around educational technology to develop data-informed, technologically enhanced innovations in learning and instruction. The LEI’s transdisciplinary approach includes systematically collecting large-scale learning data while respecting data privacy, analyzing data to make better predictions, and rapidly iterating new approaches to improve outcomes.