The Department of Management at California State University San Marcos seeks a part-time lecturer for Spring 2026 to teach MGMT 484-7: Foundations of Generative AI for Business Leadership. Minimum qualifications: A master’s degree or higher in Business, Information Systems, Computer Science, Data Science, Analytics, Engineering, or a closely related field by the time of appointment, or a master’s degree in another field combined with substantial professional experience in AI-enabled business applications. Demonstrated knowledge of generative AI concepts and tools (e.g., large language models, prompt engineering, AI-assisted decision making) and their application to business contexts. Professional or teaching experience explaining technical concepts to non-technical audiences, particularly managers or business leaders. Strong communication skills and demonstrated ability to engage diverse student populations. Commitment to inclusive, ethical, and responsible use of AI in organizational and societal contexts. Per the California State University’s Out-of-State Employment Policy, the CSU is prohibited from hiring employees to perform CSU-related work outside California. Working in the State of California is a condition of employment. Preferred qualifications: A terminal degree (Ph.D., D.B.A., or equivalent) in a relevant field or extensive senior-level industry experience in AI, digital transformation, product management, analytics, or technology-enabled strategy. Direct experience using or implementing generative AI tools in business settings (e.g., strategy, marketing, operations, finance, consulting, entrepreneurship, or knowledge work). Prior teaching experience in areas such as AI for business, digital transformation, analytics, information systems, strategy, or innovation. Familiarity with AI governance, ethics, risk management, and regulatory considerations relevant to organizational leadership. Experience designing applied, practice-oriented coursework (e.g., case studies, simulations, labs, projects, or executive-style learning activities). Experience working with industry partners, executive education, or professionally oriented graduate programs (e.g., MBA). Demonstrated interest in staying current with rapidly evolving AI technologies and integrating emerging tools into pedagogy. Preference will be given to applicants who demonstrate intercultural competence and a commitment to serving a diverse campus community as it relates to teaching and, as applicable, service. Salary commensurate with degree level and experience
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Job Type
Part-time