Adjunct Associate Faculty, Analytics for Business Operations Management (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.

Qualifications

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.

Additional Information

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/Affirmative Action employer.