Introduction to the job
In this role, you will serve as a key contributor within the Data & Compute organization, helping bridge customer workflows, product behavior, and platform capabilities across Infrastructure, ML-Ops, and UI/Recipes domains.
Leveraging a deep understanding of customer use cases, product workflows, and system behavior, you will identify opportunities to improve how customers consume Data & Compute solutions. You will transform customer insights, workflow challenges, and product needs into clear requirements and specifications that guide product evolution and platform adoption.
Unlike a Domain Architect who focuses on defining technical architectures and implementation approaches, this role focuses on understanding customer problems, product usage patterns, and workflow requirements to ensure Data & Compute investments deliver meaningful customer value.
Role and responsibilities
Customer & Product Analysis
- Develop deep expertise in customer workflows and product usage scenarios across recipe management, data analytics, machine learning, and result analysis solutions.
- Analyze customer behavior, workflow efficiency, and product adoption patterns to identify pain points and improvement opportunities.
- Gather customer feedback and operational insights to drive future product and platform enhancements.
- Act as a subject matter expert for customer workflows and business processes within the assigned domain.
Requirement & Specification Development
- Translate customer needs, workflow challenges, and business scenarios into clear, actionable requirements and specifications.
- Collaborate with product teams and software engineers to clarify requirements and ensure technical feasibility.
- Define use cases, success criteria, and expected customer outcomes for new capabilities and enhancements.
- Support end-to-end requirement traceability from concept through implementation validation.
Cross-Domain Alignment
- Work across Infrastructure, ML-Ops, and UI/Recipes teams to ensure platform capabilities support real customer needs and usage scenarios.
- Identify dependencies, integration gaps, and workflow inconsistencies across different Data & Compute products.
- Promote consistency in customer experience, workflows, and data interactions across platforms.
- Help align customer requirements with reusable platform capabilities and common services.
Product Evolution & Innovation
- Analyze industry trends, customer challenges, and emerging technologies to identify future opportunities.
- Support exploration of next-generation Data & Compute solutions, including AI-enabled workflows, advanced analytics, and data-driven engineering experiences.
- Evaluate new concepts from a customer-value perspective and provide input to future roadmap discussions.
- Contribute to the definition of future workflows that improve productivity, usability, and adoption.
Validation & Customer Success
- Define validation criteria and acceptance conditions that reflect customer expectations and workflow requirements.
- Participate in customer discussions, demonstrations, and feedback sessions to ensure delivered solutions address real-world needs.
- Assess whether implemented capabilities achieve intended customer outcomes and identify follow-up improvement opportunities.
- Support adoption and continuous improvement of Data & Compute solutions through data-driven insights.
Required Qualifications
Customer & Workflow Expertise
- Customer Workflow Analysis
- User Behavior Analysis
- Customer Journey Mapping
- Product Adoption Analysis
Product & Domain Knowledge
- Product Behavior Analysis
- Semiconductor Inspection & Analysis Workflows
- Data Analytics & Result Interpretation
- Domain Subject Matter Expertise
Requirement Engineering
- Requirement Analysis
- Use Case Definition
- Specification Development
- Acceptance Criteria Definition
Data-Driven Decision Making
- Product Usage Analytics
- Customer Feedback Analysis
- Trend Identification
- Data Interpretation
Collaboration & Influence
- Cross-functional Collaboration
- Stakeholder Communication
- Requirement Facilitation
- Technical Storytelling
Additional Information
- Standard day-shift schedule (9:00 AM – 6:00 PM).
- Hybrid working model with up to two remote-working days per week, subject to business needs and company policy.
- Occasional early-morning or evening meetings may be required to support collaboration with global teams.
- This position is based at the ASML Hsinchu Office (11F., No. 1, Sec. 3, Gongdao 5th Rd., Hsinchu City, Taiwan) and is open to Taiwan local hires.
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
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.
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