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Mark Ritzmann Email & Phone Number

Executive Director at Columbia University
Location: New York City Metropolitan Area, United States 2 work roles
2 phones found area 631 LinkedIn matched
✓ Verified July 2026 3 data sources Profile completeness 86%

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Direct phone (631) ***-****
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Current company
Columbia University
Role
Executive Director
Location
New York City Metropolitan Area, United States
Company size
6880 employees

Who is Mark Ritzmann? Overview

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Quick answer

Mark Ritzmann is listed as Executive Director at Columbia University, a with 6880 employees, based in New York City Metropolitan Area, United States. AeroLeads shows phone signal with area code 631 and a matched LinkedIn profile for Mark Ritzmann.

Mark Ritzmann previously worked as Faculty, AI & Applied Analytics @ Columbia University | Executive Director, Analytics & Information Systems Lab | Chief Information Officer | AI Adviser at Openai.

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Email format at Columbia University

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Columbia University

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About Mark Ritzmann

Mark Ritzmann is a Executive Director at Columbia University. He possess expertise in analytics, predictive analytics, data warehousing, data mining, architecture.

Listed skills include Analytics, Predictive Analytics, Data Warehousing, Data Mining, and 1 others.

Current workplace

Mark Ritzmann's current company

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Columbia University
Columbia University
Executive Director
New York, NY, US
Website
openai.com
Employees
6880
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2 roles

Mark Ritzmann work experience

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Faculty, Ai & Applied Analytics @ Columbia University | Executive Director, Analytics & Information Systems Lab | Chief Information Officer | Ai Adviser

Openai

New York City Metropolitan Area

Team & coworkers

Colleagues at Columbia University

Other employees you can reach at openai.com. View company contacts for 6880 employees →

JJ John Johhny John Johhny Colleague at Columbia UniversityKuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia View → NU Nicole Undefined Nicole Undefined Colleague at Columbia UniversityWishart, Queensland, Australia View → CO Chris Orsinger Chris Orsinger Colleague at Columbia UniversitySan Francisco, California, United States View → OP Olivia Pavco-Giaccia Olivia Pavco-Giaccia Colleague at Columbia UniversitySan Francisco, California, United States View → MG Mihir Gajera Mihir Gajera Colleague at Columbia UniversityAhmedabad, Gujarat, India View → AG Angela Genochio Angela Genochio Colleague at Columbia UniversitySan Francisco, California, United States View → SF Santatra Faniry Santatra Faniry Colleague at Columbia UniversityMadagascar View → AB Ayaan Bhardwaj Ayaan Bhardwaj Colleague at Columbia UniversityIndore, Madhya Pradesh, India View → TH Tomo Hiratsuka Tomo Hiratsuka Colleague at Columbia UniversitySan Francisco, California, United States View → MH Michael Harris Michael Harris Colleague at Columbia UniversityUnited States View →
FAQ

Frequently asked questions about Mark Ritzmann

Quick answers generated from the profile data available on this page.

What company does Mark Ritzmann work for?

Mark Ritzmann works for Columbia University.

What is Mark Ritzmann's role at Columbia University?

Mark Ritzmann is listed as Executive Director at Columbia University.

What is Mark Ritzmann's phone number?

AeroLeads has found 2 phone signal(s) with area code 631 for Mark Ritzmann at Columbia University.

Where is Mark Ritzmann based?

Mark Ritzmann is based in New York City Metropolitan Area, United States while working with Columbia University.

What companies has Mark Ritzmann worked for?

Mark Ritzmann has worked for Columbia University and Openai.

Who are Mark Ritzmann's colleagues at Columbia University?

Mark Ritzmann's colleagues at Columbia University include John Johhny, Nicole Undefined, Chris Orsinger, Olivia Pavco-Giaccia, and Mihir Gajera.

How can I contact Mark Ritzmann?

You can use AeroLeads to view verified contact signals for Mark Ritzmann at Columbia University, including work email, phone, and LinkedIn data when available.

What skills is Mark Ritzmann known for?

Mark Ritzmann is listed with skills including Analytics, Predictive Analytics, Data Warehousing, Data Mining, and Architecture.

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