Job SummaryWe're looking for a Platform PLM BOM Analyst to improve the quality, consistency, and visibility of product data across our PLM ecosystem and cross-functional business processes.
This role focuses on BOM analysis, reporting, validation, and reconciliation across Teamcenter, Contract Manufacturer data, procurement information, and As-Built records. You'll identify product data discrepancies, improve BOM accuracy, and ensure Engineering-approved configurations are consistently reflected throughout the product lifecycle.
Beyond day-to-day analysis, you'll play an important role in identifying opportunities to improve BOM management, reporting, and product data governance. Working closely with the Platform PLM team and business stakeholders, you'll help define business requirements, recommend scalable solutions, and support the implementation of process and system enhancements that improve product data quality and operational efficiency.
We're looking for someone who is analytical, detail-oriented, and comfortable working across Engineering, Manufacturing, Supply Chain, Finance, and Contract Manufacturers. You enjoy solving complex data challenges, communicating insights clearly, and helping transform those insights into practical, scalable business solutions.
Key Responsibilities- Analyze and validate BOMs for accuracy, completeness, and consistency.
- Identify and resolve discrepancies across Engineering, Contract Manufacturer, procurement, and As-Built BOMs.
- Develop and maintain BOM reports, dashboards, Delta BOMs, and data quality metrics.
- Support Engineering Change analysis, implementation tracking, and product data validation.
- Partner with cross-functional teams to improve product data quality and manufacturing readiness.
- Support Teamcenter reporting, testing, and validation of new PLM capabilities.
- Identify opportunities to improve BOM management, reporting, and product data governance.
- Identify opportunities and develop business solutions to improve BOM management, reporting, and product data governance.
You may be a good fit if you have (Must-have qualifications)- 5-8 years of experience supporting product data, Bills of Materials (BOMs), Product Lifecycle Management (PLM), manufacturing engineering, or configuration management within a hardware product development environment.
- Experience working with Bills of Materials, product structures, or manufacturing product data.
- Strong analytical and problem-solving skills.
- High attention to detail and data accuracy.
- Experience creating reports, dashboards, or data comparisons.
- Ability to investigate discrepancies across multiple systems and data sources.
- Strong communication and cross-functional collaboration skills.
- Comfort working in a fast-paced environment with evolving priorities.
Strong candidates may also have experience with (Nice-to-have qualifications)- Experience with Siemens Teamcenter or another PLM system.
- Experience supporting hardware product development or manufacturing.
- Familiarity with Engineering Change Requests, Engineering Change Notices, Deviations, or Problem Reports.
- Experience working with Contract Manufacturers.
- Knowledge of ERP systems such as NetSuite.
- Experience with Teamcenter Reporting & Analytics, SQL, Power BI, Tableau, or similar reporting tools.
- Familiarity with product configurations, variants, alternates, substitutes, and As-Built BOMs.
Benefits- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2k per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
