Learning Technology Specialist

Job Description The Division of Information Technology at Stevens Institute of Technology is seeking a motivated and service-oriented Learning Technology Specialist to join the Office of Learning Technology. This full-time position reports directly to the Associate Director, Learning Technology and plays a vital role in supporting technology‑enhanced teaching and learning across the university. This is a hybrid position, requiring a regular on‑campus presence depending on team needs. Position Summary The Learning Technology Specialist provides students, faculty and staff with comprehensive support and training in the effective use of learning technologies including extended reality (XR) tools across face‑to‑face, hybrid, and online instructional environments. The successful candidate will contribute to enhancing the teaching and learning experience by facilitating technology adoption, promoting best practices, and supporting innovative instructional approaches. Key Responsibilities Provide day‑to‑day support for university‑provided learning technology tools, such as Canvas, Zoom, Panopto, Poll Everywhere, Gradescope, and Turnitin. Assist with the maintenance and administration of the Canvas Learning Management System, including basic configuration, troubleshooting, and support for LTI integrations. Manage and resolve support tickets, diagnosing and troubleshooting learning technology issues while delivering timely, professional, and customer‑focused solutions. Develop, update, and maintain knowledge base articles, guides, and other support resources for learning technologies and services. Coordinate, develop, and deliver in‑person and online training sessions for faculty, staff, and students. Follow established support processes, workflows, and documentation standards to ensure consistent and high‑quality service delivery. Collaborate with faculty and staff to support the effective integration of instructional technologies into face‑to‑face, online, and hybrid courses. Assist in identifying, evaluating, testing, and implementing new and emerging technologies to enhance teaching and learning. Assist students, faculty, and staff in effectively using the XR Lab and its equipment; work with the XR Lab team to support the delivery of XR learning experiences and related projects. Support project work within the Learning Technology team and other IT initiatives. Provide occasional after‑hours or on‑call support to meet the needs of the university. Perform other duties as assigned. Required Qualifications Bachelor's degree in Instructional Technology, Instructional Design, Information Technology, or a related field. Familiarity with learning management systems (Canvas or similar) and common instructional technologies. Ability to quickly learn new software, systems, and technical procedures. Strong customer service orientation and excellent verbal and written communication skills. Strong analytical, troubleshooting, and problem‑solving skills. Capable of working in a fast‑paced, dynamic, and highly collaborative environment. Preferred Qualifications Knowledge of instructional design principles, accessibility best practices, and technology‑enhanced pedagogies. A passion for and experience with extended reality (virtual reality, mixed reality, augmented reality) and related tools and technologies. Experience in data analysis and reporting. Compensation Range In compliance with the New Jersey Wage Transparency Act, the annual base salary range for this position is $61,700.00 - $84,300.00. This range represents the University’s good faith estimate of possible compensation at the time of posting. The final salary will be set considering departmental budget, qualifications, and relevant credentials. This pay range represents base pay only and excludes additional forms of compensation, such as incentives, stipends, or other applicable pay components. EEO Statement Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factors including race, color, religion, creed, sex, national origin, heritage, citizenship status, age, ancestry, marital status, civil partnership, gender identity or expression, sexual orientation, disability, pregnancy, or military status. #J-18808-Ljbffr