Sr. Manager, Operations Quality

Overview

Stratasys is a world leader in 3D printing!

Stratasys is leading the global shift to additive manufacturing with innovative 3D printing solutions for industries such as aerospace, automotive, consumer products and healthcare. Through smart and connected 3D printers, polymer materials, a software ecosystem, and parts on demand, Stratasys solutions deliver competitive advantages at every stage in the product value chain. The world’s leading organizations turn to Stratasys to transform product design, bring agility to manufacturing and supply chains, and improve patient care.

The Sr. Manager, Operations Quality leads quality assurance, manufacturing quality, and operational excellence across Stratasys’ technology platform. This role ensures product quality and compliance while driving continuous improvement to boost efficiency and reduce waste. It also plays a key leadership role in promoting a culture of quality, accountability, and cross-functional collaboration across the organization.

• Oversee quality operations for manufacturing lines, including manufacturing quality, supplier quality, and field performance
• Partner with operations and engineering teams to ensure robust process controls, in-line quality checks, and defect prevention strategies
• Define, specify and drive the implementation of standards, methods and procedures for inspecting, testing, and evaluating the precision, accuracy and reliability of company products and materials sufficient to support end use manufacturing customer standards and expectations
• Lead supplier quality programs including audits, qualification, and ongoing performance monitoring to ensure incoming materials meet specifications
• Manage nonconformance investigations and ensure timely implementation of containment, corrective and preventive actions (CAPA)
• Ensure compliance with existing Stratasys QMS certifications and other applicable standards through internal, supply chain and external audits and document control
• Ensure proper documentation, traceability, and quality sign-off for all technology products prior to release
• Support, monitor, and respond to field quality issues and customer complaints, coordinating with cross-functional teams to ensure rapid resolution and customer satisfaction
• Align quality objectives with operational KPIs such as throughput, OEE, and cost of poor quality
• Collaborate with manufacturing and supply chain teams to optimize production processes and reduce variability
• Participate in production planning, resource allocation, and operational reviews to ensure quality is embedded in daily operations
• Drive cross-functional initiatives that improve efficiency, reduce waste, and enhance product reliability
• Lead, mentor, and develop a team of quality engineers, technicians, and specialists across multiple sites
• Set clear goals, provide regular performance feedback, and support career development for team members
• Allocate resources effectively to meet project timelines, production schedules, and quality objectives
• Foster a collaborative and accountable team environment aligned with Stratasys’ values and strategic goals
• Represent the Quality function in cross-functional leadership meetings and strategic planning sessions
• Performance proficiency assessment of current organization vs. benchmarks for end use manufacturing and establish a proficiency improvement plan
• Provide work directions to the organization, communicate company expectation metrics and key performance indicators (KPIs), and manage performance and improvement activities
• Develop and manage department budget
• Set cross-functional standards to ensure that the company’s internal and external customers are satisfied
• Facilitate structured problem-solving sessions using the 8D methodology and tools like FMEA, 5 Whys, and Fishbone diagrams to drive effective corrective and preventive action activities between operations, engineering, and supply chain for product and processes
• Lead lean, six sigma, and kaizen initiatives to improve process capabilities and reduce defects
• Use data analytics and quality metrics (e.g., yield, scrap, rework, customer complaints) to identify trends and…