Manufacturing Systems Lead: Capacity & EVMS Innovator

Roboticsconnected; Albuquerque (NM); Presencial; USD 112.000 - 190.000; Jornada completa

Descripción de la vacante

AeroVironment is seeking an experienced Manufacturing Systems Engineering/Program Lead to provide technical leadership for manufacturing engineering activities across programs. You will evaluate factory performance, develop scalable manufacturing solutions, and support program execution.

The role requires strong ownership, analytical ability, and cross-functional collaboration to improve throughput, capacity, cost, quality, and schedule performance in a dynamic environment.

Formación

• Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline.
• At least 8 years of experience in manufacturing engineering, industrial engineering, or a related field, preferably in moderate- to high-volume manufacturing.
• Experience with mechanical manufacturing, PCB/CCA assembly, or complex electromechanical manufacturing.
• Experience with capacity analysis, modeling, planning, value-stream mapping, and factory performance analysis.
• Experience with EVMS, program planning, cost/schedule performance management, and CAM responsibilities, including control account planning and performance reporting.
• Experience developing manufacturing metrics, dashboards, production forecasts, and capacity expansion solutions.
• Strong proficiency with Microsoft Excel and other data analysis or modeling tools.
• Strong analytical, problem-solving, technical leadership, and communication skills.
• Ability to collaborate effectively across manufacturing, engineering, program management, operations, and leadership organizations.
• Ability to manage multiple priorities in a dynamic, fast-paced environment.
• Must be a U.S. Citizen.

Responsabilidades

• Serve as the technical lead for manufacturing engineering systems, factory capacity, and related initiatives across multiple programs.
• Develop and maintain value-stream and capacity models to evaluate material and process flow, throughput, cycle time, bottlenecks, capacity requirements, and factory performance.
• Lead capacity expansion and factory planning efforts, including evaluation of equipment, tooling, facilities, staffing, process capability, production flow, and resource requirements.
• Support EVMS, Integrated Master Schedule (IMS), budgets, performance metrics, and cost/schedule integration in partnership with Program Management and CAMs.
• Serve as a CAM or provide CAM support, including control account planning, estimates, schedules, and performance assessments.
• Analyze manufacturing data and develop recommendations to improve throughput, capacity utilization, cost, quality, productivity, and schedule performance.
• Partner with cross-functional organizations to resolve manufacturing constraints, execution issues, and program risks.
• Develop manufacturing strategies and implementation plans for program ramp-up, production scaling, and long-term capacity expansion.
• Develop and maintain manufacturing metrics, dashboards, and performance indicators to support data-driven decision-making.
• Lead or support Lean, Six Sigma, Theory of Constraints, and other continuous improvement initiatives.
• Present manufacturing performance, capacity, risks, investment recommendations, and status updates to program and functional leadership.

Conocimientos

Manufacturing engineering

EVMS/CAM experience

Data analysis

Cross-functional collaboration

Excel proficiency

Educación

Bachelor's degree in Manufacturing/Industrial/Mechanical/Electrical Engineering

Herramientas

Excel

Data analysis tools

Descripción del empleo

AeroVironment is seeking an experienced Manufacturing Systems Engineering/Program Lead to provide technical leadership for manufacturing engineering activities across programs. You will evaluate factory performance, develop scalable manufacturing solutions, and support program execution.

The role requires strong ownership, analytical ability, and cross-functional collaboration to improve throughput, capacity, cost, quality, and schedule performance in a dynamic environment.