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.