Production Supervisor (Foundry/Metals)

An industry leading, multi-billion dollar aerospace and defense manufacturing organization is currently looking to add a Production Supervisor to their growing team. This position would be based on either 2nd or 3rd shift. This is a plant based manufacturing position and would be based at their rapidly expanding manufacturing location.

Responsibilities:

• Lead, train, supervise, evaluate, and coach assigned manufacturing personnel. Assist Lead Operators with planning work and use of resources (people, tools, equipment, etc.) to maximize efficiency and the quality of the work performed.
• Review production schedules, standard manufacturing procedures, quality control requirements, check lists, set-up information, previous results, and other data necessary to accurately communicate requirements and answer questions.
• Review equipment operations (shears, presses, blenders, material handling equipment, etc.) to ensure reliability. Take corrective actions to be sure equipment is operating properly, maintained, and that personnel are correctly operating the equipment.
• Review and approve all production employee weekly e-time data. , vacation schedules and holiday schedules to ensure all manufacturing requirements are met.
• Assist and oversee all projects related to capacity expansion, cost reductions, safety, productivity improvements, and quality improvements.
• Effectively communicate company and department goals, achievements, problems, solutions, practices, changes, and policies. Encourage positive communication. Enforce all company policies, rules, and regulations.
• Conduct all operations in a clean and safe environment. Schedule appropriate cleaning to maintain high level of quality culture. Enforce all safety rules and regulations.

Qualifications:

• H.S. Diploma or GED
• 2 years of supervisory or lead level experience within an industrial/manufacturing setting.
• Strong organizational and communications skills (verbal and written).
• Strong math skills and a solid understanding of statistical data reporting.
• Ability to prioritize workload