Agilent

Product Data Management Change Analyst (ECO Change Analyst)

Malaysia · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerAgilent
LocationMalaysia
Work styleWork style not stated
Employment typeFull time
Employer posted7 Sep 2026

Job Description

Develop and maintain the Engineering Change Order (ECO) process and coordinate any engineering changes.
Interface with Production, Procurement and other functions for consistency and data integrity of product / parts related material master record data across all affected Agilent ERP systems.
Structuring / setup BOM for New Product Introduction, release / maintain documents / drawings. Support parts setup and release.
Support NPI team by driving the product life cycle discipline and monitoring manufacturing deliverables.
Support CPL release and CPL obsolescence (for product launching and obsolescence).
Drive innovation and optimization of Product Data Management (PDM) processes for ISO9K / ISO13485 compliance.
Ability to lead projects represent Product Data Management team.
Collaborate with Engineering (including R&D), Supply Chain, Marketing and Product Support and play an internal consultant role related to Product structure and representation.
Analyze and lead continuous improvement program / project and problem prevention, collaborate well with internal customers.
Works on business system / process assignments with broadly defined objectives.
Continuous improvement for operation efficiency to meet and improve KPIs (example ECO turnaround times and First pass rate).

Show full description

Qualifications

Bachelor’s Degree in Engineering, Industrial Management, or related field. Advanced Degree or relevant certifications.
1-3 years of Engineering data management experience.
Previous experience in roles involving both Engineering change management, preferably in a complex manufacturing environment.
In-depth understanding of product design, manufacturing processes, BOM structures, and configuration management principles.
Proficiency in using relevant software tools, including PLM and ERP systems. Agile & SAP ECC experience, at least 2 years. High knowledge in Agile & SAP and a basic understanding of the boundary business processes.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Analytical mindset with a keen eye for detail and problem-solving capabilities.
Knowledge of regulatory requirements and quality standards pertinent to the industry.
Ability to manage multiple tasks simultaneously, prioritizing effectively.
Experience with change management methodologies and practices.
Strong organizational skills to maintain accurate records and documentation.
Ability to work across with different organizations with a wide variety of personalities, both internationally and cross-functionally.
Fluent in spoken and written Chinese.
Self-disciplined, proactive, and outgoing personality.
Strong data analytical skills.
Able to perform programming / have VBA / SAP scripting / power automate / any RPA skillsets and Python will be an added advantage.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required:

10% of the Time

Shift:

Day

Duration:

No End Date

Job Function:

Manufacturing

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