ASMLCustomer Technology Manager

Introduction to the job Customer Technology Manager, to be based at Wuhan in taking charge of West Cluster customers technology and business development activities. Role and responsibilities - Supports customers’ roadmap Enablement for future products - Interaction with Business Lines in product development roadmap to meet customer's requirement - Supports in demonstrating product performance or cost advantage in customer context - Represent voice of customer towards Business Lines & Senior Management on customer requirement - Ensures customer satisfaction on products performance & service provided

OverviewWith over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more. Responsibilities• Customer Relationship Management: You will support foundational relationships with key customer stakeholders and technical professionals to enable quality solution delivery and health using partnerships with other account team leaders and with guidance from more experienced colleagues. • Customer Success Leadership and Customer Strategy and Growth: You will listen to conversations with customers and begins to align objectives with the current Microsoft portfolio of work in the customer account. • You will align with the account team to link Customer Success Plans (CSPs) with account plan priorities and develop bookable programs of work. • Customer Success leadership - Delivery and program Management: You will support the delivery of program planning and customer-facing program reviews, prioritization of engagements, and engagement with key technical stakeholders to address agreed-upon customer outcomes and account priorities to deliver ongoing customer success. • You will initiate conversations with customers to connect customer objectives and the current Microsoft portfolio of work in the customer account. Adopts the organizational and customer success strategy and ensure you align Microsoft technology and services with the customer goals and objectives. • You will meet consumption milestones as you track adoption and usage of Microsoft products and services, work with customers to identify areas where adoption could be improved and takes action to drive usage while you develop and leverage an • understanding of retention and churn in their customer portfolio to begin identifying potential opportunities where retention may become an issue.

In our commitment to solve the most pressing challenges for our customers by leveraging data to drive strategic decisions, we seek experienced analysts who can deliver comprehensive data insights to enhance our services for customers, partners, and internal teams. Key responsibilities include: 1.Working With Large Datasets: Independently compile large and intricate datasets, construct, and deploy data models tailored to business or analytical requirements. 2.Collaborate Across Teams: Work with various Business or Operations Teams to grasp issues, conceptualize analytics frameworks, and translate business problems into technical hypotheses. 3.Design & Evaluate Analytical Methods: Develop and recommend analytical methods such as A/B testing, assess model performance, interpret experimental outcomes, and offer data-driven recommendations. 4.In-Depth Analysis & Trend Identification: Conduct thorough analyses of our operations, research market and industry trends, pinpoint emerging patterns and opportunities, and consistently provide actionable business insights via analytics reports and performance dashboards.

1. Data Processing & Modeling Support — Compile and clean large datasets; support the development and maintenance of data models aligned with business needs. Ensure data accuracy and usability for analysis. 2. Cross-Functional Collaboration — Partner with Business, Operations, and Product teams to understand key challenges, frame analytical questions, and translate business problems into measurable hypotheses. 3. Analytical Methods & Experimentation — Support the design and implementation of analytical methods such as A/B testing; assist in evaluating model performance and interpreting experimental results to generate actionable insights. 4. Insight Generation & Reporting — Conduct routine and ad-hoc analyses of operational performance; track market and industry trends to identify patterns and opportunities. Deliver clear, visually-driven reports and dashboards to communicate findings to stakeholders.