Quality Engineer, Master Data

Jobtailor; Fremont (CA); On-site; USD 65,000 - 90,000; Full time

Job summary

Jobtailor is seeking a data management specialist to ensure master data accuracy across ERP platforms and PLM systems. You will support system setup for product launches and maintain critical product data in enterprise tools.

The role emphasizes data governance, process improvement, and cross-functional collaboration with project managers and stakeholders to drive reliable downstream processes. Experience with SAP/Oracle and Power Platform is valued.

Qualifications

• Bachelor's degree in Engineering, Supply Chain, Statistics, Business Analytics, Information Systems, or a related field.
• 0-2 years of experience in data management, business systems, supply chain, operations, engineering support, or a related analytical role.
• Experience working with data analysis tools, including advanced Microsoft Excel functions, formulas, reporting, and data validation.
• Experience supporting cross-functional projects involving data management, product lifecycle activities, or business process improvement.
• Minimum 1 year of experience in master data management, business systems, ERP administration, or a related data-focused function (preferred).
• Experience within the medical device, pharmaceutical, biotechnology, or other regulated industry (preferred).
• Experience supporting system setup and data management activities for product launches or product lifecycle projects (preferred).
• Hands-on experience with ERP systems such as SAP and/or Oracle (preferred).
• Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate (preferred).

Responsibilities

• Support product launches by executing system setup activities and maintaining accurate product master data across enterprise systems.
• Create, update, and maintain master and transactional data within product lifecycle management systems, ERP platforms, and global item management tools.
• Partner with Project Managers and cross-functional stakeholders to ensure product data is complete, accurate, and aligned across systems.
• Monitor data integrity and consistency across multiple business systems and resolve data discrepancies to support downstream processes.
• Support product lifecycle activities, including new product introductions, product changes, and product obsolescence initiatives.
• Follow established quality and regulatory procedures related to data governance and master data management.
• Analyze data trends, identify process improvement opportunities, and provide recommendations to improve efficiency and accuracy.
• Contribute to documentation, training materials, and process enhancements that support scalable and repeatable data management practices.

Skills

Master Data Management

Data Analysis

ERP Administration

Microsoft Excel

Cross-Functional Project Support

Education

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

Tools

SAP

Oracle

Microsoft Power BI

Microsoft Power Apps

Microsoft Power Automate

Job description

• Support product launches by executing system setup activities and maintaining accurate product master data across enterprise systems.
• Create, update, and maintain master and transactional data within product lifecycle management systems, ERP platforms, and global item management tools.
• Partner with Project Managers and cross-functional stakeholders to ensure product data is complete, accurate, and aligned across systems.
• Monitor data integrity and consistency across multiple business systems and resolve data discrepancies to support downstream processes.
• Support product lifecycle activities, including new product introductions, product changes, and product obsolescence initiatives.
• Follow established quality and regulatory procedures related to data governance and master data management.
• Analyze data trends, identify process improvement opportunities, and provide recommendations to improve efficiency and accuracy.
• Contribute to documentation, training materials, and process enhancements that support scalable and repeatable data management practices.

Requirements

• Bachelor's degree in Engineering, Supply Chain, Statistics, Business Analytics, Information Systems, or a related field; or equivalent combination of education and experience.
• 0-2 years of experience in data management, business systems, supply chain, operations, engineering support, or a related analytical role.
• Experience working with data analysis tools, including advanced Microsoft Excel functions, formulas, reporting, and data validation.
• Experience supporting cross-functional projects involving data management, product lifecycle activities, or business process improvement.
• Minimum 1 year of experience in master data management, business systems, ERP administration, or a related data-focused function (preferred).
• Experience within the medical device, pharmaceutical, biotechnology, or other regulated industry (preferred).
• Experience supporting system setup and data management activities for product launches or product lifecycle projects (preferred).
• Hands-on experience with ERP systems such as SAP and/or Oracle (preferred).
• Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate (preferred).

Core Competencies

Demonstrates expertise in master data management and data integrity across enterprise systems, with a strong focus on product lifecycle activities and cross-functional collaboration. Proficient in data analysis and improvement processes, ensuring compliance with quality and regulatory standards.

Highest-signal resume keywords

• Master Data Management
• Data Analysis
• ERP Administration
• Microsoft Excel
• Cross-Functional Project Support

Hard Skills

• Data Management
• Data Validation
• Product Lifecycle Management
• Process Improvement
• Data Governance

Soft Skills

• Collaboration
• Communication
• Problem-Solving

Industry Keywords

• Medical Device
• Pharmaceutical
• Biotechnology
• Regulated Industry

Tools & Technologies

• SAP
• Oracle
• Microsoft Power BI
• Microsoft Power Apps
• Microsoft Power Automate