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ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.
Job Responsibility:
Design, deliver, and maintain product master data solutions by resolving structural data issues across the business, applying strong analytical and problem‑solving skills to ensure high data quality, consistency, and reliability
Perform root cause analysis on product data defects and process gaps, and define data improvement initiatives that prevent recurrence and support scalable solutions
Conduct impact assessments to evaluate business, process, and system implications of master data changes
Translate business and data governance requirements into clear user stories and technical backlog items
Develop functional and technical specifications for master data solutions, including data cleansing, transformation, and migration strategies where required
Create, prepare, and maintain product data quality reporting and dashboards to support monitoring, KPI tracking, and continuous improvement
Collaborate closely with business stakeholders, process owners, and IT teams to align on required process changes and data governance standards
Prepare, execute, and support end‑to‑end testing (e.g., unit, integration, UAT) to validate data solutions and ensure readiness for deployment
Contribute to the implementation and adoption of master data solutions by supporting rollout activities, including training materials, knowledge transfer, and user guidance
Create and maintain work instructions, procedures, and documentation related to master data processes, standards, and data quality solutions
Provide 2nd‑line support for master data operational issues and incidents, supporting the data management community with root cause analysis and issue resolution
Drive continuous improvement of MDM ways of working by applying performance management practices, problem‑solving methodologies, and data quality best practices
Actively contribute to the MDM department roadmap, supporting strategic initiatives related to data governance, data quality, system migrations, and digital transformation
Requirements:
BS'c degree in Information Technology, Industrial Engineering, or related fields
At least 5 years of relevant, demonstrated experience in the semiconductor industry or a related discipline
Experience with (product) data quality management and its impact on business processes
Experience with data architecture(s) and understanding of data modeling, including knowledge on product data model
Experience with performance management, metrics, KPI’s and reporting
Experience with SAP (or ERP) applications (such as MM, MDG, EWM etc)
Understanding how data governance is embedded within global enterprises