Quality Engineer

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio‑frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience.

Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at .

Accelerate your career at the intersection of material science and operational excellence. Avery Dennison Performance Tapes is hiring a Sr. Quality Engineer for our Painesville, OH facility to lead our Quality Systems through a period of rapid PSA technology evolution. This role is designed for a data‑driven leader who thrives in a fast‑paced, high‑stakes environment where pushing the boundaries of adhesive performance is the daily standard.

You will own the integrity of our CAPA processes, drive cross‑functional root cause discovery, and manage our site’s data strategy to ensure quality moves at the speed of innovation. This role reports directly to the Quality Manager.

• Directly manage and oversee the Data Management Coordinator, ensuring data integrity, timely reporting, and the continuous optimization of internal database workflows.
• Drive site quality through analysis, identification of root cause issues, partnering with Production and Engineering to complete resolutions and impact site quality.
• Ability to collect data, analyze, interpret and summarize statistical methods such as Process Capability Studies, Process Maps, Process Failure Modes Effective Analysis and Control Plans in order to increase production efficiency.
• Works directly with external and internal customers to address and resolve questions, concerns, requirements, complaints, and rejects using various internal and customer CAPA/SCAR systems.
• Collaborates with multiple departments on quality issues, addresses them with urgency, and drives corrective/preventive actions to implementation and verification.
• Own Management of Change (MOC) Process.
• Conduct and/or support internal audits, customer audits, customer visits, and supplier audits as necessary.
• Administers production quality support related to issue resolution, product quality/risk assessment, and product disposition.
• Leads plant quality support and representation in new product development, spec reviews and approvals, scale‑up, design transfer, and facility validation activities.
• Lead and facilitate problem‑solving activities, including customer, supplier, and Avery personnel as participants.
• Provides production support of a quality/statistical data analysis nature.
• Prepare and submit monthly quality KPI reports to keep track of all meaningful quality indexes and quality improvement activities for all outsourced suppliers.
• Develop necessary quality standards (procedures) and requirements for suppliers.
• Lead and commit to zero quality incidents for outsourced suppliers.
• Generate and provide quality KPIs for management review.
• Lead quality department task on New Product Development.
• Participate and/or lead Enterprise Lean Sigma and Six Sigma activities.
• Other duties as deemed necessary.

Required:

• Bachelor's degree in a relevant technical discipline
• 5+ years of technical work experience in a fast‑paced manufacturing environment
• Ability to project manage multiple key quality‑type projects with deadlines in a fast‑paced environment.
• Ability to use statistical tools and methods to analyze data, make determinations, and provide direction to management.
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