Quality Team Leader - AO Phoenix - Aerospace and Defense

Quality Team Leader - AO Phoenix - Aerospace and Defense

Company:
Corning

Location:

Glendale, AZ, 85301

• Reporting directly to the plant quality manager, this position promotes a culture of quality, operational excellence, and continuous improvement throughout a high‑tech plant environment that is a leader in the RF connector arena. Production environments include precision machining of optical array components, RF connector housing fabrication, plating, precision component fabrication, and precision assembly.
• This position is responsible for effective application and development of the plant quality management systems (QMS) and associated improvement efforts through significant individual contributions and leadership of a team of QC inspectors and metrology personnel.

• Support plant production in a multi‑shift environment by supervising a team of quality inspectors to maintain and advance key aspects of the plant QMS with a focus on customer and vendor FAIs, organizational management, and accurate documentation.
• Maintain inspection and test capabilities, equipment, and facilities to include overall supervision of metrology and calibration.
• Work with plant quality manager and extended staff to set and implement short‑ and long‑term objectives aimed at achieving plant goals around responsiveness, cost, quality, WIP, and safety.
• Lead projects aimed at continuous improvement and reducing manufacturing variability; project teams will include technical members from peripheral groups (operations, information technology, engineering, development, supply chain, etc.).
• Create and present regular reporting on status on inspection of WIP, investigations, root‑cause corrective actions to the plant staff and product line management.
• Assist and support in maintaining/achieving relevant quality system registrations (ISO
  9001) and AS91000 standards, to include qualifying to perform internal audits.
• Perform technical reviews of documentation, SOPs, and specifications, including providing input during new document package releases, as well as changes to existing packages.
• Collaborate with Engineering and Operators to maintain and improve statistical process control program.
• Provide input on changes to existing products and processes where form, fit, function, or regulatory compliance potentially impacts internal manufacturing or external customers.
• Provide leadership for key aspects of the QMS to ensure they are effective and aligned with internal and external customer expectations, corporate requirements, and industry specific standards.
• Assign objectives and tasks to team; provide guidance on task priority to ensure team is focused on the appropriate tasks if conflicts arise.
• Assure growth in talent and capability of group, including self.
• Build an effective internal network including engineering, operations, commercial, division quality, and global supply management.
• Translate customer requirements into quality standards and daily work activities.

• 8 AM–5 PM typical over two shift operation. Schedule should be flexible to allow for occasional interaction across multiple shifts from 6 AM to 11 PM.
• Team works overtime one Saturday per month and as needed other weekends dependent on overtime levels. Some hours may be required during weekend.

• Less than 10 %

• B.S. in Engineering or Science preferred.
• Minimum of 5+ years quality, engineering or operations experience within a manufacturing environment – Aerospace & Defense preferred. At least 3+ years of managerial or supervisory experience, with the ability to effectively coach, mentor, and lead direct reports, providing clear direction and establishing expectations.

• Strong knowledge base in all aspects of Quality including validation, calibration, and quality control.
• Knowledgeable in Microsoft Office tools, electronic document management and ERP systems.
• Structured problem solving experience (DMAIC, 6‑Sigma, Lean, Shainin).
• Data analysis skills using statistical analysis software to chart and interpret data to make decisions / understand relationships.
• Working knowledge of mechanical…