Quality Engineer, Product

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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.

• 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.

• 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.

• 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.

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Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

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