AI Engineering Manager 2

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission!
The Artificial Intelligence and Analytics Department at Northrop Grumman Mission Systems (NGMS) is looking for you to join our team as an AI Engineering Manager 2. This position is fully on-site at our Woodland Hills, CA office. This position is split between 20% functional management and 80% direct program support, with the program support being a combination of technical and managerial responsibilities. The functional management role involves personnel management of a group of engineers including career development, staffing, goal setting, performance reviews, and compensation planning. The technical role will focus on scientific algorithm development using both AI and classical algorithms, algorithm test and refinement, and close collaboration with software engineers implementing scientific algorithms.
What You'll Get to Do:

Probe large quantities of sensor data with signal processing and advanced data analytics to uncover, understand, and exploit complex phenomenology
Research and develop innovative statistical learning models for complex data problems to identify opportunities through various AI, statistical, mining, algorithmic, and visualization techniques
Contribute to the development and implementation of department vision and strategies to drive employee engagement; improve hiring, development, training and retention of top talent; balance process compliance against innovation; and reduce bureaucracy
Manage personnel assignments in a highly dynamic and fast-paced research environment
Conduct performance and salary reviews
Mentor, challenge, and identify opportunities for team members to develop skills needed to pursue tailored career/development paths
Develop and implement strong processes with emphasis on quantitative management, continuous improvement, and usage of common processes across programs, as appropriate
Ensure organizational compliance with corporate/sector/organizational policies/procedures
Provide management guidance to achieve outstanding cost, schedule and technical performance.
Take responsibility for technical guidance and oversight in developing technical and cost proposals
Basic Qualifications:

Bachelor's of Science in a STEM discipline and a minimum of 8 years of progressively increasing responsibility and engineering experience, or a Masters of Science in a STEM discipline and a minimum of 6 years of progressively increasing responsibility and engineering experience, or a Ph.D in a STEM discipline and a minimum of 4 years of progressively increasing responsibility and engineering experience
Extensive experience working in Python, MATLAB, or similar high-level analysis and visualization language
Experience in the development of scientific data exploitation systems, including analysis of large data sets, algorithm development, and working with software teams to transition algorithms to the field