3 дня назад
PDM Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
PDM Analyst (Document Control/Oracle/Agile): Managing product data, document control, and lifecycle processes for cloud-driven networking products with an accent on configuration management, change control, and BOM accuracy. Focus on validating product data, coordinating cross-functional reviews, and improving processes across NPI and sustaining programs.
Location: Hybrid work in Taipei City or Chu Pei City, Taiwan
Company
Develops cloud-driven networking solutions and services used by more than 50,000 customers globally.
What you will do
- Align product data strategies and requirements with cross-functional partners for NPI and sustaining programs.
- Maintain company-wide and departmental processes, procedures, and product lifecycle adherence.
- Coordinate product change control activities and process change orders for revised documents and products.
- Manage configuration documentation and ensure accurate product data.
- Lead BOM reviews and deep-dive team reviews to verify product information.
- Validate data integrity in Agile PLM and Oracle systems while supporting continuous improvement initiatives.
Requirements
- At least 5 years of professional experience, including 2–3 years in document control.
- High proficiency in Microsoft Office Suite and document control software.
- Strong proofreading, problem-solving, and attention-to-detail skills.
- Excellent oral and written communication skills; English is required.
- Ability to work independently, manage multiple tasks, and report status as needed.
- Ability to work in a fast-paced, high-volume environment.
Nice to have
- Experience in the networking industry.
- Proficiency in Oracle ERP and Agile PLM.
Culture & Benefits
- Cross-functional collaboration across operations and product teams.
- Hybrid work environment in Taiwan.
- Inclusive workplace focused on respect, equal opportunity, and employee development.
- Exposure to cloud networking, machine learning, artificial intelligence, analytics, and automation technologies.
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