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

Columbia UniversitySmartRecruitersNew York, NY, US
Posted 27 FebFound 20 OctSeen 2 hours ago

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The Posting

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.

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

Facts

Source
SmartRecruiters
External id
744000111908215
Location
New York, NY, US
Remote
On-site, from the posting
Employment
Part time
Posted
27 Feb 2026, 17:50
First seen
20 Oct 2026, 12:23
Last seen
2 Nov 2026, 08:38
Status
Not yet added
Posting id
de2e36f9-c671-5273-a785-9afa3536647d