Quality Engineer: Master Data & Lifecycle (ERP)

Jobtailor

Fremont (CA)

On-site

USD 65,000 - 90,000

Full time

4 days ago

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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.