- Location
- SG
- Workplace
- Hybrid
- Type
- Full-time
- Seniority
- Senior
- Experience
- 3+ years
- Education
- Bachelor
- Source
- Eightfold
Description
1. Requirement Ownership & Product Governance (APTD Package Health) Act as the Product Owner for APTD Package Health digital capabilities across all sites. Consolidate and rationalize Package Health requirements to ensure consistency, reuse, and scalability. Own and maintain the product backlog, including prioritization aligned with APTD strategy and business value. Define clear business requirements, epics, user stories, success metrics, and acceptance criteria. Balance global standardization with site-specific needs through structured trade-off decisions. Develop and maintain project plans, milestones, dependencies, and risk registers across multiple sites and stakeholders. Coordinate cross-functional teams (APTD sites, ETD, analytics, and system owners) to ensure timely and predictable delivery. Prepare regular project status updates, decision briefs, and escalation summaries for leadership reviews.3. Participate in solution and architecture reviews to ensure functional fit, data integrity, scalability, and usability. Support harmonization of data models, workflows, and KPIs across sites and systems. Required Bachelor's degree in Engineering, Data/Information Systems, Business Analytics, or a related field. 3-7 years of experience as a Business Analyst, Product Owner, or Program/Project Analyst, preferably in semiconductor manufacturing or advanced manufacturing environments. Demonstrated experience in product ownership and project management, including backlog management, planning, and execution tracking. Strong experience in requirements gathering, process mapping, and stakeholder management across multiple sites. Ability to translate complex technical concepts into clear business and system requirements. Strong communication, facilitation, and documentation skills. Familiarity with semiconductor assembly/test flows and Package Health concepts. Experience working with MES, manufacturing data platforms, or analytics ecosystems. Exposure to AI/ML-enabled solutions, advanced analytics, or digital transformation programs. Experience working with central IT organizations and agile, waterfall, or hybrid delivery models.
