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

• 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.

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.

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. 

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.

Preferred Skills & Experience

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

• Salary range:  $2,000 - $3,000 per semester long course
• Please submit a resume inclusive of university teaching experience.
• All your information will be kept confidential according to EEO guidelines.
• Columbia University is an Equal Opportunity Employer / Disability / Veteran