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The Gina Guillaume-Joseph Conversation

Dr. Gina Guillaume-Joseph is Chief Technology Officer of Workday.

 

She is a conference presenter and published author and co-author of several journal publications and to include the newly published Wiley Series in Systems Engineering book, Trade-off Analytics: Creating and Exploring the System Tradespace.

 

Dr. Guillaume-Joseph has a strong record of success based on direct personal contributions. She leads and develops teams that are adaptive, flexible and highly responsive in the exceptionally dynamic environment of Government support. Her accomplishments and successes are based on strong program performance, leadership discipline, a commitment to developing relevant, innovative and adaptive solutions, and a vigilant focus on best value solutions for her clients.

 

She is a Systems Engineering practitioner who searches opportunities to integrate with broader project tasking by proactively engaging other Task Leads in the implementation of standard business processes to ensure synchronization and to achieve unified project goals.

Dr. Guillaume-Joseph has also served as an Adjunct Professor and Doctoral Research Advisor at the George Washington University supporting students pursuing their doctorate in Systems Engineering.

 

Her work resulted in numerous awards and recognitions for outstanding contributions of Systems Engineering best practices. She received the 2015 Be Everything You Are (BEYA) Modern Day Technology Leader Award for her outstanding leadership and contributions in her field. As the state of Virginia's finalist for the White House Fellowship program, she received regional recognition joining the ranks of the top 5% of leaders in the DC Metro area.

 

Dr. Guillaume-Joseph received her B.A. in Computer Science from Boston College and M.S. in Information Systems from The University of Maryland. She obtained her PhD in Systems Engineering from The George Washington University with a topic focused on Predicting Software Project Failure Outcomes using Predictive Analytics and Modelling.

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