Ryan Legge

Ryan Legge's email & phone

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President, National Security at BigBear.ai|Elkridge, Maryland, United States

Position:

President, National Security at BigBear.ai

Location:

Elkridge, Maryland, United States

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Last updated: 2024-05-17
Updated: 2024-05-17

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Work Experience 26 years

President, National Security at BigBear.ai

Mar 2021 - Current

Executive Vice President at NuWave Solutions

May 2010 - Mar 2021

Manager at KPMG US

Feb 2005 - May 2010

Material Program Manager at Northrop Grumman

Jan 2002 - Feb 2005

MBA Student at Carey Business School, Johns Hopkins University

Jan 2002 - Jan 2005

Associate at TEKsystems

Jan 2000 - Jan 2002

Ryan Legge started working in 2000, then the employee has changed 5 companies and 5 jobs. On average, Ryan Legge works for one company for 4 years 11 months.

Education

MBA at The Johns Hopkins University - Carey Business School

B.A. at McDaniel College

Frequently Asked Questions

What is Ryan Legge's minimum period of employment in the companies?

Ryan Legge's minimum period of employment in various companies is 2 years.

What is Ryan Legge's average duration of employment for different companies?

On average, Ryan Legge works for one company for 4 years 10 months

What industries has Ryan Legge worked in?

Ryan Legge works in the Computer Software. Previously, Ryan Legge worked in the Information Technology and Services, and Financial Services, and Defense & Space.

What positions has Ryan Legge held before?

Previously, Ryan Legge worked as a Executive Vice President, and Manager, and Material Program Manager, and MBA Student, and Associate.

How do I contact Ryan Legge?

Ryan Legge's phone number is +1-870-***-**35. Sign up to get contact details.

Ryan Legge Namesakes

Name
Company
Position
Ryan Legge
TERMINAL FOREST PRODUCTS LTD
Cleaner

Other employees at BigBear.ai

Name
Company
Position
Kevin Jacobson
Senior Software Engineer
Austin Holdaway
Tech Lead & Engineering Manager
Christian
Senior Full Stack Engineer
Cody Moore
Senior Full Stack Developer
David Keaton
Entry Level Machine Learning Engineer

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