Adjunct Associate Faculty, Analytics for Business Operations Management (On-Campus, Fall '26)

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate-

level course in Analytics for Business Operations Management . An Associate is a faculty line junior to a

Lecturer that provides subject matter expertise and supports the instructional process for a course

section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at

Columbia University.

This course teaches students how to apply analytical techniques to optimize operational decision-

making, improve efficiency, and solve real-world challenges in operations management. Students will

develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation,

optimization, inventory analysis, project management, supply chain management, and lean operations.

The course integrates lectures and coding exercises to ensure a balance between conceptual learning

and practical application across multiple industries.

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting.

Responsibilities

Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.; Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.; Evaluate, grade student work and assessments as requested by the course Lecturer.; Monitor and address student concerns and inquiries.

Requirements

Graduate degree in an area related to Operations Management, Business Analytics, Industrial Engineering, Operations Research, Data Science, or a related field.; 3+ years of professional experience in a role involving applied analytics, operations management, supply chain management, finance, marketing research, or related industries.; Strong understanding of Operations Management concepts such as forecasting, queuing theory, optimization, and simulation.; Proficiency in data analysis using Python and familiarity with tools such as Jupyter Notebook, NumPy, Pandas, and Matplotlib.

Nice to have

University teaching experience.; Experience applying Python to real-world operations management problems.; Ability to mentor students and provide constructive feedback on analytical work.