Senior Quality & Master Data Engineer (Hybrid)

Stryker Group; Fremont (CA); Hybrid; USD 101,000 - 168,000; Full time

Job summary

Stryker is hiring a Senior Quality Engineer, Master Data to join our Neurovascular division. This role focuses on the data infrastructure behind medical device launches and lifecycle management, ensuring accurate product data across enterprise systems.

Based in Fremont, CA with hybrid work and onsite presence three days per week, you will collaborate across functions, support data governance, and drive data quality improvements to enable efficient product introductions and obsolescence.

Qualifications

• Bachelor’s degree in Engineering, Statistics, Supply Chain, Business Analytics, Information Systems, or related field.

Responsibilities

• Manage creation, updates, and maintenance of product master and transactional data across systems.
• Coordinate system setup for new product launches ensuring data accuracy.
• Support product lifecycle activities through master data management.
• Monitor data consistency across systems and resolve discrepancies.
• Maintain compliance with quality procedures and regulatory master data rules.
• Analyze data trends to improve data management and system performance.
• Develop and maintain documentation, procedures, and training materials.
• Collaborate with stakeholders to evaluate change requests and support decisions.

Skills

Data management

Analytics

Supply chain

Operations

Engineering support

Data validation

Education

Bachelor’s degree in Engineering, Statistics, Supply Chain, Business Analytics, Information Systems, or related field

Tools

SAP

Oracle

Power BI

Power Apps

Power Automate

Microsoft Excel

Job description

Stryker is hiring a Senior Quality Engineer, Master Data to join our Neurovascular division. This role focuses on the data infrastructure behind medical device launches and lifecycle management, ensuring accurate product data across enterprise systems.

Based in Fremont, CA with hybrid work and onsite presence three days per week, you will collaborate across functions, support data governance, and drive data quality improvements to enable efficient product introductions and obsolescence.