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Applied Predictive Technologies Leadership

Zippia score 4.4
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CEO & Executives

Applied Predictive Technologies executives

Here are further demographic highlights of the leadership team:
  • The Applied Predictive Technologies executive team is 20% female and 80% male.
  • 57% of the management team is White.
  • 17% of Applied Predictive Technologies management is Hispanic or Latino.
  • 9% of the management team is Black or African American.
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Name & TitleBio
Jim Manzi

Founder

Anthony Bruce

Founder

Greg Fitzwilliam

Senior Vice President of Finance

Cathy Baker

President and Chief Operating Officer

Cathy Baker's LinkedIn

Cathy Baker is a President and Chief Operating Officer at Applied Predictive Technologies; Executive Vice President at Mastercard Inc.; and SVP, Marketing at Applied Predictive Technologies and is based in Washington, D.C.. She has worked as Vice President at Mercer Management Consulting, Vice President at Oliver Wyman, and Research Analyst at Strategic Planning Associates Llc. Cathy studied at DARTMOUTH COLLEGE between 1983 and 1987 and Universität Wien between 1990 and 2000.

Josh Head

Vice President of Sales

Patrick O'Reilly

Founders

Scott Setrakian

Founder

Rose Corro

Human Resources Operations Manager

John Rhoades

Vice President

Jeff Babka

Chief Financial Officerat

Jeff Babka is a Chief Financial Officerat at Applied Predictive Technologies and is based in Greater New York City Area. She works or has worked at Vibrant Media and Sophos. Jeff attended University of Dayton.

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Applied Predictive Technologies founders

Name & TitleBio
Jim Manzi

Founder

Anthony Bruce

Founder

Greg Fitzwilliam

Senior Vice President of Finance

Cathy Baker

President and Chief Operating Officer

Cathy Baker's LinkedIn

Cathy Baker is a President and Chief Operating Officer at Applied Predictive Technologies; Executive Vice President at Mastercard Inc.; and SVP, Marketing at Applied Predictive Technologies and is based in Washington, D.C.. She has worked as Vice President at Mercer Management Consulting, Vice President at Oliver Wyman, and Research Analyst at Strategic Planning Associates Llc. Cathy studied at DARTMOUTH COLLEGE between 1983 and 1987 and Universität Wien between 1990 and 2000.

Josh Head

Vice President of Sales

Patrick O'Reilly

Founders

Scott Setrakian

Founder

Applied Predictive Technologies board members

Name & TitleBio
Jim Manzi

Founder

Scott Setrakian

Founder

Applied Predictive Technologies leadership demographics

Applied Predictive Technologies gender distribution in management team

  • The Applied Predictive Technologies executive team is 20% female and 80% male.
  • Applied Predictive Technologies is 39% female and 61% male company-wide.
Male
Male
80%
Company-wide: 61%
Female
Female
20%
Company-wide: 39%

Applied Predictive Technologies executives by race

Management Team:
  • The most common ethnicity among Applied Predictive Technologies executive officers is White.
  • 57% of the management team is White.
  • 17% of Applied Predictive Technologies's management is Hispanic or Latino.
  • 12% of the management team is Asian.
Company-wide:
  • White is the most common ethnicity company-wide.
  • 37% of employees are White.
  • 31% of employees are Asian.
  • 14% of employees are Hispanic or Latino.
  • Management team
  • General
100%
80%
60%
40%
20%
0%
Unknown
White
Black or African American
Asian
Hispanic or Latino

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Updated November 18, 2022

Zippia gives an in-depth look into the details of Applied Predictive Technologies, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Applied Predictive Technologies. The employee data is based on information from people who have self-reported their past or current employments at Applied Predictive Technologies. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Applied Predictive Technologies. The data presented on this page does not represent the view of Applied Predictive Technologies and its employees or that of Zippia.

Applied Predictive Technologies may also be known as or be related to Applied Predictive Technologies, Applied Predictive Technologies, Inc. and Applied Predictive Technology.