Aerospace Systems Integration & Test Lead

Lockheed Martin Corporation; Miami (FL); On-site; USD 105,000 - 195,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements (e.g., 4x10

401(k) match

Paid time off

Job summary

Lockheed Martin Space in Florida seeks an Associate Manager of the Optimization group to lead a team driving sustained improvement through lessons learned and metrics-driven analysis. You will bridge operational planning, root cause analysis, and training development to enhance efficiency and reliability.

The role coordinates integration and testing of in-house and COTS/GOTS components, manages recruiting and performance, and guides system test solutions within schedule and cost constraints.

Qualifications

• Engineering Bachelor's degree or higher with proven technical leadership.
• Experience leading a technical workforce in aerospace or equivalent.
• Strong communication skills and briefing senior leaders.

Responsibilities

• Lead a team to drive sustained improvement via structured lessons learned and metrics-driven analysis.
• Coordinate integration and testing of in-house and external components within schedule and cost constraints.
• Develop training materials and perform root cause analysis to enhance efficiency and reliability.

Skills

Strong leadership experience

Excellent communication skills

Root cause analysis

Problem-solving abilities

Cross-functional collaboration

Education

Engineering Bachelor's degree or higher

Tools

Creo Parametric

Creo View

Job description

Lockheed Martin Space in Florida seeks an Associate Manager of the Optimization group to lead a team driving sustained improvement through lessons learned and metrics-driven analysis. You will bridge operational planning, root cause analysis, and training development to enhance efficiency and reliability.

The role coordinates integration and testing of in-house and COTS/GOTS components, manages recruiting and performance, and guides system test solutions within schedule and cost constraints.