The Director of Engineering-Steel is a member of the LPC campus leadership team. In this position, the individual will be responsible for accelerating process improvements and technical capabilities in the Steel Large Structurals manufacturing operations through identifying and eliminating process variations and driving process and product improvements to accomplish scrap and rework reduction in all phases of the operation.
The objective is to assist the LPC operations in meeting their business and financial goals through the attainment of a higher level of technical excellence. The development and implementation of statistical and analytical controls for internal and external consistency will be a key component resulting in first time process yield improvements and scrap reduction. The Director’s performance will be measured on their ability to contribute to the plant operation’s P & L as well as setting new strategies in place to drive tomorrow’s business.
SPECIFIC DUTIES AND RESPONSIBILITIES:
- Responsible for identifying and attacking process and product performance issues using various data analysis techniques (statistical, mathematical, DOE, 6 Sigma, etc.) to uncover variables in the process and the product that are not maintained in a controlled fashion.
- Plans, develops, coordinates, and directs engineering projects or programs inside and outside the company, including, but not limited to, concurrent engineering.
- Responsible to develop and drive quality improvement and cost reduction initiatives/pipelines to meet business metrics.
- Work with plant personnel to record, implement and control processes for permanent corrective action.
- Works closely with customers, sales, planning and manufacturing to provide coordination on new product introduction and to support specific existing products.
- Maintain strong plant personnel contact through frequent and focused manufacturing floor visits and interaction with front line employees.
- Establish expert reputation with plant and customer leadership concerning process and product variability concerns.
QUALIFICATIONS:
- A four year engineering degree is required with a background in Statistics, Mathematics, Engineering, or a related degree program is preferred. Advanced degree also preferable.
- A minimum of ten (10) years experience in a technology driven, manufacturing and design industry such as aerospace, telecommunications, electronics, gas turbines or automotive.
- Proven success in process improvements using mathematical and statistical problem-solving techniques to identify process variations in manufacturing with many independent variables.
- The successful candidate’s career will show increasing levels of responsibility and customer focus.
- Assertive, energetic, self-starting, risk-taker with the ability to break through historical barriers and paradigms for out-of-the-box, data driven problem solving techniques.
- Tremendous desire to be an independent change leader by establishing proven results.