Chief Academic Officer
Role Description The Chief Academic Officer is a full-time remote role responsible for overseeing the academic vision, strategy, and quality of teaching and learning within the Information Systems Research Group. Day-to-day tasks include leading curriculum development for programs related to digital transformation, BPM, digital governance, and Responsible AI, and ensuring alignment with the latest research and industry practices. The role involves mentoring faculty and researchers, fostering an inclusive academic environment, and coordinating academic policies, assessment standards, and learning outcomes. The Chief Academic Officer will collaborate with internal and external partners to develop joint educational initiatives, supervise the integration of research findings into teaching, and support doctoral education and talent development. Additional responsibilities include contributing to strategic planning, representing the group in academic networks, and promoting innovation in digital and AI-enhanced pedagogy.
Qualifications
Strong background in Education and Curriculum Development, with experience designing and evaluating academic programs in relevant fields. Demonstrated Educational Leadership capabilities, including mentoring faculty, coordinating teaching activities, and fostering inclusive learning environments. Proven Research experience, preferably in information systems, digital governance, AI, or related domains, with a record of scholarly publications or equivalent outputs. Strategic Planning skills, including the ability to define academic priorities, align programs with institutional goals, and manage long-term initiatives. Advanced degree (PhD or equivalent) in Computer Science, Information Systems, Education, or a closely related discipline. Excellent written and verbal communication skills in English; ability to collaborate in international, interdisciplinary teams. Experience with remote leadership, digital learning environments, and modern educational technologies. Commitment to equity, diversity, inclusion, and responsible, human-centered AI and data practices in teaching and research.