Manager Systems Engineering 2 – Algorithm Development Optimization

Please note that this opportunity is contingent on program funding.  Start dates are determined after funding confirmation.

Northrop Grumman Aeronautics Systems Sector is seeking a qualified and innovative Manager Systems Engineering 2 – Algorithm Development Optimization to join our Model Based Test & Evaluation (MBTE) team. This role is pivotal in driving advancements in cutting-edge technology, and we are looking for a creative thinker who thrives in a dynamic environment. This is a dual role Section Manager (Functional Role) and Individual contributor (Program Role).  This position will be located in Melbourne, Florida.

Note : Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. This is an individual contributor role that can be filled at either level.

Functional Role and Responsibilities include:

• Help the team understand the T&E organization's vision and principles.

• Build a culture that empowers and motivates individual excellence.

• Establish functional homeroom shared accountability for program/project performance.

• Ensure projects are completed on schedule and within budget.

• Perform technical planning and cost and risk analyses for total systems.

• Work closely with the Department Manager and fellow section managers to implement department initiatives.

• Ensure successful planning and execution of program test engineering activities.

• Collaborate with programs to satisfy staffing needs and provide operations support (incident investigations, metrics collection and analysis, etc.).

• Set goals and provide regular performance feedback to employees.

• Support the annual salary review and promotion process.

• Mentor and develop the next generation of technical and project leadership.

• Improve and enforce test engineering processes and procedures.

Program role responsibilities may include but are not limited to:

• Developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.

• Identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually.

• Developing and implementing a Digital Engineering strategy that utilizes Digital Twin technology for validating software and hardware modifications, test regression, and airworthiness verification tests.

• Proactively identifying and solving complex problems to showcase high-fidelity, multi-level vehicle performance virtually.

• Collaborating regularly with Program Management, external suppliers, and government customers.

• Leveraging technical expertise to address complex integration challenges.

Basic Qualifications for Sr Principal Data Scientist:

• Bachelor of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university with 9 years of relevant experience; OR Master of Science degree in a STEM (Science, Technology, Engineering or Mathematics) discipline from an accredited university with 7 years of relevant experience; OR PhD in a Science, Technology, Engineering or Mathematics discipline from an accredited university with 4 years of relevant experience.

• Your ability to