UNIV- AI Education Innovation and Implementation Lead - ESL Center of Teaching and Learning; CATL

MUSC Education Innovation and Student Life (EISL) is seeking a faculty member to serve as the AI Education Innovation and Implementation Lead, advancing the institution’s strategic vision for transforming health professions education through the responsible integration of artificial intelligence. This position provides leadership in faculty development, educational innovation, AI-enabled educational technology implementation, and Scholarship of Teaching and Learning (SoTL). Working collaboratively with faculty, academic leaders, and institutional partners, the successful candidate will help evaluate, implement, and scale AI-driven educational solutions that enhance teaching, learning, assessment, and academic program operations while preparing future healthcare professionals to thrive in an AI-enabled healthcare environment.

Medical University of South Carolina (MUSC - Univ)

Employee

Faculty

CC001359 ESL Center for the Advancement of Teaching and Learning (CATL)

Salary

University-00

0.00 - 0.00 - 0.000

40

Design and facilitate professional learning experiences focused on AI readiness, responsible AI integration, and AI-enhanced teaching practices. Provide consultations to faculty and academic programs on AI-enhanced teaching, learning, assessment, feedback, course design, and academic integrity. Support faculty in redesigning courses and assessments to promote meaningful learning, competency development, learner effort, and professional judgment in AI-enabled environments. Assist faculty in designing, developing, implementing, and evaluating AI-enhanced educational innovations.

Partner with faculty to translate educational challenges and innovations into Scholarship of Teaching and Learning (SoTL) and educational research projects. Support faculty with educational research design, project planning, implementation, evaluation, dissemination, and continuous improvement activities. Develop exemplars, toolkits, implementation guides, case studies, and faculty-facing resources that support effective AI integration. Contribute to communities of practice, faculty learning networks, and institutional AI champion initiatives.

Lead implementation efforts for approved AI-enabled educational technologies across MUSC colleges and academic programs. Partner with Information Solutions, vendors, and institutional stakeholders to support successful implementation and adoption. Develop implementation resources including onboarding materials, readiness checklists, communication plans, support documentation, and faculty guidance. Monitor implementation progress and identify barriers to successful adoption. Coordinate training, communication, support, and change management activities associated with approved technologies.

Develop implementation strategies that support sustainable use and adoption across colleges, programs, and courses. Contribute to continuous improvement efforts that strengthen the effectiveness and scalability of AI-enabled educational technologies.

Identify emerging AI-enabled educational technologies, practices, and use cases that may improve teaching, learning, assessment, feedback, advising, and academic operations. Design and coordinate educational innovation pilots focused on meaningful educational challenges and opportunities. Develop pilot objectives, success criteria, evaluation plans, implementation requirements, participant support strategies, and communication plans. Coordinate pilot…