Division Quality Engineer, CET

Corning•City of Corning, NY

6d•$91,649 - $126,018•Onsite

About The Position

As Division Quality Engineer, you'll operate at the intersection of continuous improvement leadership, hands-on quality system support, and data-enabled decision-making — helping CET's quality organization become more consistent, more responsive, and more preventive. This role involves championing Performance Excellence (PEx) across the division by promoting continuous improvement methodologies, structured problem-solving, and process excellence. You will partner with site and functional teams to identify improvement opportunities, apply best practices, and drive projects to successful completion. Additionally, you will support the proactive identification and mitigation of risks by strengthening process controls, measurement systems, issue prevention, and decision-making rigor. The role also provides hands-on support for divisional Plant/Process Quality Assurance (PQA) activities, including quality system improvements, process monitoring, standardization, root cause analysis, corrective actions, and preventive actions, helping to align quality systems across sites for faster and more effective issue resolution. Furthermore, you will enable data-driven quality by collecting, analyzing, and interpreting quality and operational data to surface trends, drive decisions, and inform priorities. This includes developing and improving dashboards, reports, and data tools to increase visibility and speed across the division's quality processes, and identifying opportunities to improve efficiency through data systems, digital tools, and AI-enabled solutions. You will also drive cross-functional execution and adoption by supporting divisional quality projects and promoting consistency in quality practices and metrics across sites, leading training, documentation, communication, and adoption of new quality processes, systems, and tools, and collaborating across plant/site quality teams, operations, engineering, and divisional leadership to embed durable improvements.

Requirements

Bachelor’s degree in engineering, Quality, Manufacturing, Industrial Engineering, or a related field
3-5 years of experience in quality, engineering, manufacturing, continuous improvement, or a related discipline.
Strong aptitude for manufacturing performance analytics, reporting, and working with data systems.
Proven ability to identify trends, solve problems, and drive process improvement initiatives.
Effective communication and collaboration skills, with the ability to influence improvements across teams in a matrixed environment.
Proficiency in Microsoft Excel and other standard business/reporting tools.

Nice To Haves

Experience with Performance Excellence (PEx), Lean, Six Sigma, or other continuous improvement methodologies.
Experience supporting Plant/Process Quality Assurance (PQA) or broader quality systems.
Familiarity with core quality tools — root cause analysis, CAPA, SPC, FMEA, audits, or process control methods.
Green Belt or Black Belt certification, or equivalent quality/process improvement training.
Experience with BI and reporting tools such as Power BI, Tableau, SQL, or similar platforms.
Exposure to or interest in AI, automation, or advanced analytics for business or quality applications.

Responsibilities

Serve as the division's PEx champion, promoting continuous improvement methodologies, structured problem-solving, and process excellence.
Partner with site and functional teams to identify improvement opportunities, apply best practices, and drive projects to successful completion.
Support proactive identification and mitigation of alpha and beta risk by strengthening process controls, measurement systems, issue prevention, and decision-making rigor.
Provide hands-on support for divisional PQA activities, including quality system improvements, process monitoring, standardization, root cause analysis, corrective actions, and preventive actions.
Help align quality systems across sites, improving consistency and enabling faster, more effective issue resolution and prevention.
Collect, analyze, and interpret quality and operational data to surface trends, drive decisions, and inform priorities.
Develop and improve dashboards, reports, and data tools to increase visibility and speed across the division's quality processes.
Identify opportunities to improve efficiency through data systems, digital tools, and — where appropriate — AI-enabled solutions.
Support divisional quality projects and promote consistency in quality practices and metrics across sites.
Lead training, documentation, communication, and adoption of new quality processes, systems, and tools.
Collaborate across plant/site quality teams, operations, engineering, and divisional leadership to embed durable improvements.