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Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Haden Land

Haden Land
Vice President, Research & Technology, Lockheed Martin IS&GS

Website | @hadenaland

Haden Land is vice president of research and technology for Lockheed Martin IS&GS, with 30 years of professional experience. He serves numerous U.S. government agencies, allied nations, and regulated commercial industries. Haden is responsible for technical solutions, strategic partnerships, global innovation centers, research and development, and emerging technology planning. His areas of expertise include cloud computing, big data, cyber security, enterprise mobility, complex adaptive systems, enterprise architecture, and advanced concepts. He has domain knowledge within government, space, energy, law enforcement, transportation, and healthcare.

Previously, Haden was vice president of solutions engineering for Lockheed Martin IS&GS, vice president of engineering and CTO for Lockheed Martin IS&GS Civil, and vice president of technical operations and CTO/CIO for Lockheed Martin Enterprise Solutions. In addition, Land has extensive technical experience performing in many chief architect and chief engineer roles, and has held a number of technical and engineering director positions. Previous employers include IBM and Loral.

Haden holds a bachelor’s degree in mathematics and computer science from Potsdam University and a master’s degree in computer science from Syracuse University. He serves on several academia/industry boards and is a recognized global speaker. He has been selected as one of the Top Hispanics in Business and Technology by numerous organizations; received the prestigious Global CIO Executive Top 10 Breakaway Leader award; received professional lifetime achievement awards; and is a recipient of two honorary doctorate degrees.


11:20am–12:00pm Thursday, 10/01/2015
Hadoop Use Cases
Location: 1 E12/ 1 E13 Level: Intermediate
Haden Land (Lockheed Martin IS&GS), Jason Loveland (Lockheed Martin)
Average rating: ****.
(4.75, 4 ratings)
Lockheed Martin builds unmanned and manned human space systems, which require systems that are tested for all possible conditions – even for unforeseen situations. We present a test system that is a learning system built on big data technologies, that supports the testing of the Orion Multi-Purpose Crew Vehicle being designed for long-duration, human-rated deep space exploration. Read more.