Manufacturing Engineering Director

Electrolux•Springfield, MO

2d•Onsite

About The Position

The Manufacturing Engineering Director is a results-driven manufacturing leader responsible for engineering, maintenance, and technical operations in a heavy manufacturing environment. The role drives equipment reliability, productivity, quality, and operational performance through continuous improvement, preventive and predictive maintenance, process optimization, and capital project execution. The director leads investments in automation, AI, and digital manufacturing technologies, manages budgets, develops high-performing teams, and supports operational excellence and new product introductions. The position is based in Springfield, Tennessee. Electrolux Group describes its vision as leading the home appliance industry in consumer satisfaction by delivering outstanding lifetime experiences and solutions that support more enjoyable and sustainable living. The company states that it invests in employee development and is an Equal Opportunity Employer. Visa sponsorship is not available for this position.

Requirements

At least 7 years of manufacturing engineering and maintenance leadership experience in a heavy manufacturing environment, including leading engineering and maintenance teams.
Strong expertise in preventive, predictive, corrective, and autonomous maintenance systems, equipment reliability, and operational efficiency improvement.
Hands-on experience with PLCs, controls, programming, motors, hydraulics, pneumatics, and automated manufacturing equipment.
Solid understanding of manufacturing processes, production equipment, plant layouts, tooling, and capital project management.
Experience with steel forming, roll forming, power presses, enameling cutting systems, conveyors, fixtures, and tooling.
Ability to troubleshoot complex equipment issues and perform root cause analysis to improve uptime, quality, and operations.
Proficiency in reading technical drawings, blueprints, schematics, and engineering documentation, and in using computerized maintenance systems (CMMS).
Strong project management, organizational, collaboration, and cross-functional leadership skills.
Ability to drive labor productivity through workforce planning, process optimization, performance management, and continuous improvement.
Ability to lead implementation and optimization of AI, automation, and digital manufacturing technologies.
Visa sponsorship is not available for this position.

Nice To Haves

Bachelor’s degree in mechanical, electrical, electronic, or a related engineering discipline is preferred.

Responsibilities

Lead manufacturing engineers, maintenance managers, and technicians to optimize production processes, equipment performance, and maintenance strategies.
Develop, review, and approve specifications, quotations, labor requirements, tooling, and capital equipment investments.
Participate in design reviews and approve engineering drawings, routings, specifications, and manufacturing documentation.
Oversee equipment procurement, installation, commissioning, and capital improvement projects.
Drive root cause analysis and corrective actions to resolve production, equipment, and maintenance-related issues.
Collaborate with production and engineering teams to implement process improvements and support operational excellence initiatives.
Ensure preventive, predictive, and corrective maintenance programs are effective and sustain equipment reliability.
Develop and manage maintenance budgets while maintaining cost-effective operations.
Lead continuous improvement initiatives focused on uptime, quality, productivity, scrap reduction, and cycle time improvements.
Provide leadership, coaching, and technical guidance to engineering and maintenance teams.
Manage manufacturing-related capital and operating budgets, including investment planning, business case development, cost control, resource allocation, and ROI tracking for equipment, automation, AI initiatives, digital technologies, and facility improvements.
Drive labor productivity improvements through workforce planning, process optimization, performance management, and continuous improvement initiatives.
Lead the implementation and optimization of AI, automation, and digital manufacturing technologies to improve operational performance, productivity, quality, and data-driven decision-making.