David Keever

David Keever is a Leidos Technical Fellow, Chief Engineer, Master Solution Architect, and Senior Program Manager. He develops and leads team-based, advanced technology programs in data analytics, exploring, developing, and harvesting advanced technologies and algorithms to rapidly extract useful solutions from a diverse number of massive, heterogeneous sensors and data sources. These capabilities support programs requiring continuous innovation for various customers in the government, non-profit, RDT&E, and commercial sectors. He possesses in-depth knowledge in designing and creating advanced information technology systems for supporting operations in classified environments involving front-line analysts who rely on deep learning and automated reasoning, detection of nonobvious relationships, and insightful uses of multiple data sources and types, sometimes at large volume. He managed a multi-year, $120M project (D3P) for stream analytics of multi-media data using a modular microservices environment with embedded AI/ML modules for entity extraction, disambiguation, cross-cueing, and petabyte data exploitation. He also supports the CEO’s effort in defining and establishing corporate technical core competencies and business strategies for Leido’s Data Science and Engineering practice. 

Early in his career he served as SAIC’s Program Manager for a Presidential Advisory Committee composed of senior executives from government (Energy, Defense, Commerce), universities (Stanford, MIT, RPI), and industry (Intel, Texas Instrument, IBM, Motorola, AMD, and AT&T/Bellcore) tasked with formulating a National Strategy for the $1.4T U.S. semiconductor industry. As a result of this strategy, SEMATECH was formed in Austin Texas as one of the first large-scale public-private R&D partnerships, funded and operating to this day with a $1B annual budget to support advanced-technology semiconductor R&D. 

In the 1990’s he earned an international reputation as a skilled negotiator/facilitator on sensitive environmental-transportation national projects, having successfully reached a regional, state, and federal consensus-decision on the $2.6B replacement for the Woodrow Wilson Bridge. 

He earned his Doctoral degree in the field of Systems Engineering (University of Virginia) and Master’s degrees in Electrical Engineering/Computer Science (GWU) and Aerospace Engineering (Purdue University). He has Executive Education certifications in technology management and strategy from MIT Sloan School and Harvard Business School. He served on the faculty and staff at the University of Virginia and George Mason University, conducting research, teaching, and guiding graduate thesis/dissertation work. He is a Senior member of IEEE and ACM. 

He has worked at SAIC and Leidos for more than 32 years and earned one of three CEO Awards in 2015. The D3P project earned the CY2018 Innovation Award, selected first among 141 entries.