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Duquesne University

Adjunct - Supply Chain Magagement (SCM)

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Job Description

Duquesne University:
Palumbo-Donahue School of Business Location:
Duquesne University Description:
Description The Supply Chain Management program within the Palumbo-Donahue School of Business invites applications for adjunct faculty positions to teach graduate and undergraduate courses. Areas of Teaching Need We seek individuals with expertise in one or more of the following areas: Supply Chain Analytics and AI-Enabled Forecasting Logistics, Transportation, Warehousing, Last-Mile Delivery Procurement, Strategic Sourcing, Supplier Management Operations Management, Lean, and Six Sigma Supply Chain Risk & Resilience Digital Supply Chain Technologies (IoT, Blockchain, APS, ERP) Sustainability, Circularity, and ESG Supply Chains Adjunct faculty are expected to bring diverse perspectives and practical experience to the classroom, contributing to the School's mission of developing sought-after business leaders who possess the ethical character, Spiritan mindset, and solutions-oriented skills needed to be global difference makers. Primary Responsibilities Teach assigned courses in the School of Business curriculum, which may include lecture or online formats. Deliver high-quality instruction using innovative and inclusive pedagogical strategies. Assess student performance through assignments and exams. Collaborate with full-time faculty to ensure course content aligns with program goals and accreditation standards. Maintain availability for student consultation and support outside of scheduled class time. Support and advance the mission of the University through professional conduct and service.
Qualifications:
Qualifications Earned master's degree in a business discipline Excellent interpersonal and communication skills Enthusiasm for working with students
Preferred:
College/university level teaching experience and/or experience teaching, presenting, leading training, or mentoring in professional settings Experience with supply chain analytics, AI/ML tools, ERP/APS systems, or process improvement methodologies Professional certifications (e.g., APICS/ASCM CPIM, CSCP, CLTD, PMP, Lean Six Sigma)