Quality Engineer, Product & Supplier Quality Excellence

Siemens Healthineers•Greendale, WI

38d

About The Position

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Varian Medical Systems, a Siemens Healthineers company is hiring for a Quality Engineer, Product & Supplier Quality Excellence. In this role you will play a critical role in improving quality performance across the product lifecycle by enabling data-driven decisions in support of both Service Quality and Supplier Quality functions. Reporting directly to the Director of NCC, Productivity, and Service Quality, this position provides high-level analytical and quality engineering support to drive quality improvements and Non-Conformance Cost (NCC) reduction initiatives from incoming inspection through manufacturing, installation, and field service. This role partners closely with Customer Service Operations, Supplier Quality Engineering, Supply Chain Management, and Manufacturing to support the development of dashboards and reporting tools by working with IT developers. The Quality Engineer will act as a primary user and subject matter expert for completed dashboards, ensuring they meet business needs and provide actionable insights. The position will directly support supplier-related NCC analysis and corrective action activities, while also tracking and supporting actions to achieve key Supply Chain KPIs for Before-Delivery Quality (% nonconforming product) and Post-Delivery Quality (excess cost/system at installation). The ideal candidate is a highly analytical, data-driven quality professional with strong visualization skills, deep process understanding, and the ability to influence cross-functional teams to drive measurable quality and cost improvements.

Requirements

Bachelor’s degree in Engineering, Data Analytics, Supply Chain, Business Intelligence, or related field.
5+ years of experience in quality engineering, supplier quality, data analytics, manufacturing, or lifecycle product quality roles.
Strong proficiency in Power BI, SAP, Excel (advanced), and interpreting complex data sets using data modeling techniques.
Proven ability to influence cross-functional teams and drive results in complex environments.
Excellent communication skills, with the ability to translate complex data into clear insights for executives and operational teams.
Highly organized, self-driven, and committed to continuous improvement.
Ability to manage large datasets and ensure data governance compliance.

Nice To Haves

Master’s degree or other completed advanced degree
Experience with analytics tools (SQL, Python, or similar)
Experience in medical devices, healthcare technology, aerospace, automotive, or other regulated industries.
Working knowledge of Lean, Six Sigma, HPS, or other continuous improvement methods.
Experience implementing predictive analytics or machine learning for quality improvement.
Demonstrated success leading data-driven improvement activities across multiple functions.

Responsibilities

Support the development of automated dashboards and reporting tools by collaborating with IT developers; act as a primary user and subject matter expert for completed dashboards (Power BI, SAP) to provide real-time visibility into NCC and supplier quality performance.
Review and analyze data across the product lifecycle to identify trends and systemic issues, partnering with cross-functional teams to drive continuous improvement.
Provide insights and recommendations that support quality improvement and NCC reduction initiatives in both Service Quality and Supplier Quality performance.
Perform supplier NCC analytics, reporting, and trend identification to support supplier improvement plans and corrective/preventive action activities.
Establish processes and data structures for monitoring and reporting Supplier Related NCC, including supplier claim management, and act as liaison to headquarters for program status updates.
Track and support actions required to achieve Supply Chain Management KPIs including Incoming Quality (% nonconforming product) and Post-Delivery Quality (excess installation cost/system).
Collaborate with IT/Data teams to ensure data integrity and optimize data pipelines for quality reporting.
Lead data-driven root cause analysis reviews to identify systemic contributors to scrap, rework, field failures, warranty cost, and installation issues.
Provide analytics and summaries for executive presentations, operational reviews, and quality governance boards.
Support improvements to data structure, quality metric definitions, and reporting consistency across the organization.
Mentor supplier quality engineers and others to strengthen data literacy and quality analytics competencies across the organization.