Engineering Manager – Data Driven Algorithms, Research

The Aerospace Corporation

Engineering Manager leading data-driven algorithms and research for aerospace, specializing in AI and machine learning solutions. Directing technical staff and customer engagements in a critical leadership role.

Posted 5/7/2026full-timeColorado Springs • California, Colorado, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $147,600 - $221,400 per yearWebsite

About the role

Key responsibilities & impact

Provides task planning, schedule, and labor estimates for proposed technical work assignments
Advises supervision of resources needs and capabilities
Provides inputs for budgetary planning
Participates in day-to-day technical activities and task accomplishments
Monitors and evaluates processes, techniques, and performance
Reviews documentation and delivery of services
Works closely with customers to coordinate tasking, report progress, resolve technical issues, and assure project success
Initiates and coordinates exchanges of technical information with other work groups and organizations
Prepares written and oral reports of organization’s activities, issues, and accomplishments to higher management, subordinates, and teaming organizations
Recommends staffing needs, reassignments, transfers, and terminations
Recommends and assists evaluation of potential staff additions
Conducts performance reviews, recommends performance improvements, career development, and promotional actions
Implements policies, practices, and operating processes and recommends changes and improvements to supervision
Responsible for compliance with security monitoring, processes, and recommendations
Participates in inter-organizational team assignments and educational activities
Identifies opportunities for additional, expanded, and new business
Aids in the evaluation and pursuit of new business opportunities
Supervises and provides technical direction to engineering and engineering support staff involved in design and development efforts on shorter-range or discrete product outputs
Assigns specific task responsibilities to engineering and support personnel to achieve work schedule requirements
Specifies, monitors, and evaluates techniques and operating procedures

Requirements

What you’ll need

Advanced degree in STEM with emphasis in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related field(s)
6 or more years of increasingly responsible professional engineering/scientific experience as a data scientist, machine learning engineer, or AI/ML researcher in any domain
Demonstrated ability to lead, advise, and provide direction to subordinate team
Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics
Proven ability to take initiative and successfully complete tasks, lead complex technical projects, and collaborate effectively
Ability to establish and maintain effective working relationships with all levels of customers and corporate staff
Demonstrated ability to rapidly learn and apply new technical skills
Willing to travel occasionally to work location or customer site/ domestically if required
This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance

Benefits

Comp & perks

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemachine learningartificial intelligencesoftware engineeringstatisticstechnical directionperformance evaluationtask planningbudgetary planningsecurity compliance

Soft Skills

leadershipinitiativecollaborationcommunicationproblem-solvingrelationship buildingperformance improvementteam coordinationreportingadvisory skills

Certifications

security clearance