Manufacturing - Digital Project Specialist – Linkou

Job ID:J-00329313Introduction to the job:

Join our manufacturing digitalization journey and play a key role in enabling smarter, more efficient factory operations. As a Manufacturing Digital Project Specialist, you will apply your factory domain knowledge and software/tool expertise to drive digital improvement projects that directly enhance productivity and operational excellence. 

You will collaborate closely with production, planner, quality and IT teams to understand on‑site challenges, evaluate and introduce digital tools, and support system‑related initiatives that accelerate our factory transformation.  This role is ideal for talents with factory experience + digital/tool expertise + information system background who enjoy solving real operational problems through technology—not by coding large systems, but by applying the right tools, data, and process thinking.

Role and responsibilities:

Digital Tools Implementation & Factory Support

• Evaluate, deploy, and enhance digital tools used in factory operations (e.g., manufacturing applications, reporting tools, workflow systems, data collection tools).
• Identify operational pain points and translate them into software/tool‑based improvement proposals.
• Support day‑to‑day system usage for factory teams, providing guidance, training, and troubleshooting.

Project Execution & Coordination

• Lead or support digital transformation projects, including requirement gathering, solution assessment, testing, rollout, and post‑implementation review.
• Work with internal cross‑functional teams (production, planner, quality, IT) to ensure alignment on scope, priority, and deliverables.
• Prepare project documentation, track milestones, monitor progress, and communicate updates to stakeholders.

Process & Data Enablement

• Analyze existing workflows and help digitize manual or inefficient processes.
• Develop dashboards or simple automation scripts to improve data visibility and decision‑making.
• Support system integration discussions by providing factory context and user requirements.

Required Qualifications:

• Bachelor’s or Master’s degree in Information Management, Computer Science, or related fields.
• Hands-on factory experience (e.g., production operations, supply chain, planning, quality, engineering, or similar areas).
• Experience using or supporting factory-related software tools such as MES, WMS, scheduling tools, production execution applications, data collection systems, or internal digital tools.
• Programing skills (for example: VBA, C#, python etc.)
• Experience with BI tools (Power BI, Tableau) for creating dashboards and actionable insights is also highly valued.
• Ability to lead projects and influence stakeholders without direct authority.
• Strong analytical thinking with the ability to translate user issues into digital or functional requirements.
• Excellent English and Mandarin communication skills for global collaboration.
• Proactive, detail‑oriented, and comfortable working in a project‑based environment.

Preferred Qualifications:

• Experience in digital transformation, process improvement, or factory system enhancement projects.
• Familiarity with manufacturing systems architecture, MES workflows, data flow, user interaction patterns.
• Experience conducting user training, documentation, or UAT support.
• Knowledge of Lean, CI methodologies, or structured problem‑solving.
• Ability to independently propose improvement ideas and translate them into actionable project items.

Inclusion and diversity:

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

Need to know more about applying for a job at ASML? Read our frequently asked questions.

<div class="component