Senior Developer - Component engineering, DFM, PLM

Job Summary

• Bachelor’s degree in Engineering, Supply Chain, Data Management, or a related field preferred
• 2 – 6 years of experience in Supply Chain, or Engineering Support roles.
• Experience in OEM component data, electronics, or manufacturing environments is desirable.

Key Responsibilities

• Create, validate, and maintain OEM/BTP master data in SAP and approved tools.
• Maintain accurate MPN, manufacturer, category, and lifecycle information for components.
• Perform periodic BOM reviews, data scrubbing, and enrichment to maintain data quality.
• Monitor component lifecycle and obsolescence risks using approved intelligence sources and manufacturer inputs.
• Create and track obsolescence tickets in ORBIT and maintain exposure/risk reports.
• Support Engineering in identifying alternate parts and documenting technical comparisons and risk mitigation.
• Initiate and coordinate ECOs for approved BOM and Material Master changes.
• Work with Engineering, Supply Chain, Project Managers, and other stakeholders to resolve data issues.
• Provide weekly progress, risk, blocker, and mitigation updates to relevant stakeholders.
• Ensure master data and BOM changes meet governance, accuracy, audit, and traceability requirements

Skill Requirements

Technical & Functional Skills

• Basic to intermediate understanding of Bill of Materials (BOM) structures, with the ability to read and reference engineering drawings and product documentation.
• Introductory to working knowledge of product lifecycle concepts (e.g., active, end‑of‑life, obsolete), with willingness to learn lifecycle management tools and processes.
• Exposure to or interest in lifecycle intelligence tools and component data sources (e.g., SiliconExpert, OEM databases, distributor websites); hands‑on experience is a plus but not required.
• Foundational understanding of Engineering Change Management concepts, including awareness of the ECO process and its role in updating BOM and material data.
• Working proficiency in Microsoft Excel and basic data management tools for data entry, validation, and reporting tasks.
• Ability to follow documentation and guidance to interpret technical specifications, engineering documentation, and lifecycle indicators to support data quality and risk assessments.

Analytical & Professional Skills

• Strong attention to detail in maintaining accurate, complete, and consistent data.
• Developing analytical and problem‑solving skills, with the ability to identify data gaps or inconsistencies and escalate issues appropriately.
• Ability to manage assigned tasks and priorities in a structured, deadline‑driven environment with guidance from project leads.
• Clear and professional written and verbal communication skills, particularly for documenting findings and providing status updates.
• Willingness to collaborate and learn while working with cross‑functional teams across Engineering, Supply Chain, and Project Management.

Other Requirements