PLM Operations Analyst

Required Skills & Experience

2-5 years of experience supporting PLM, product data, engineering operations, supply chain operations, or related business processes.

Familiarity with PLM systems such as Arena, Teamcenter, Windchill, Agile PLM, Propel, or similar platforms.

Experience managing product data, part numbers, BOMs, engineering changes (ECO/ECN), or document control processes.

Strong organizational, communication, and problem-solving skills with the ability to manage multiple priorities in a fast-paced environment.

Experience working cross-functionally with Engineering, Supply Chain, Manufacturing, or Operations teams, preferably within hardware, technology, or data center environments.

Job Description

Our client is seeking a PLM Analyst to support the day-to-day activities that keep product lifecycle management processes moving efficiently. This role will work closely with Engineering, Supply Chain, Manufacturing Partners, and Program Management teams to maintain product data, process requests, and support PLM workflows in a fast-paced environment.

This is an execution-focused role for someone who enjoys supporting business operations, managing data, and ensuring requests are completed accurately and quickly. This is not a PLM architect, developer, or system design position.

Responsibilities

Create and maintain part numbers, product records, and product attributes within the PLM system

Support Bill of Materials (BOM) creation, updates, and ongoing maintenance

Process Engineering Change Orders (ECOs) and Engineering Change Notices (ECNs)

Route approvals and track workflow status across teams

Maintain accurate product, document, and revision data

Support document control activities, including versioning and record management

Respond to user requests and inquiries within defined service levels

Partner with Engineering, Supply Chain, Manufacturing, and Operations teams to resolve issues and complete requests

Assist with onboarding and training users on basic PLM processes

Identify opportunities to improve workflow efficiency and data quality

Support new product introduction (NPI) activities and data readiness efforts