About EUV Factory

In the EUV Factory, we make and install EUV lithography machines – probably the most complex piece of machinery ever made by mankind. EUV is the latest big leap forward in semiconductor manufacturing, enabling our customers to create even more powerful and more efficient chips. We have around 2000 talented employees from over 60 different countries in our fast growing workforce. Together, we make up a vibrant, diverse, inclusive, enthusiastic and motivated community that is eager to learn and improve daily.

As a Group Lead - Business Engineering, you are part of the EUV Factory Operational Excellence department. Here, you guide a motivated & diverse team of process specialists, analysts and business partners supporting the different Departments. Your team’s mission is to support the EUV Factory management in realizing the targets by unlocking critical information, delivering insights and reports, enabling decision making and streamlining processes within the domains of resource management, performance management, business analytics, Benefits management, and cycle time management

The most typical areas for investigation are:

Resource capacity and efficiency.
Cost Management and Cost drivers
Cycle time management and blueprints.:
Performance management related to Quality, People, Delivery, Efficiency and New Product Introductions
Benefits Management (e.g. business case definitions & realization towards projects)
Data analyses to support improvement activities
Your team makes sure this information is readily available for the weekly and monthly performance reviews on different levels and drive the Norm Review processes, supporting our financial planning. In this role, you will enable your team to be an independent advisor of the EUV Factory leadership team and have a close link to the finance counterparts

Roles and responsibilities

You enable the Business Engineering team in Operational Excellence EUV Factory via:

Process specialists creating roadmaps, set standards and mature on the critical business processes on performance management, cycle time, resource management & cost.
Business partners directly supporting the Directors with performance management, cycle time, resource management & cost.
Business Intelligence & Analytics team supporting the business with data infrastructure, reporting and (self-service) analytics solutions
You coach Business Engineers for personal growth
You maintain and further increase a (physiological) safe and inclusive work environment , where employees feel supported and engaged
You grow and further develop the team
You challenge your team and the EF Staff for improvement opportunities
You contribute to Operational Excellence vision and transformation of the EUV Factory.
You drive the team to develop and improve Analytics capabilities in EUV Factory & Fact-based Decision making
You drive innovations within de Business Analytics and Data landscape to support volume increases and long term vision EF (Industry 4.0, Process Mining, Natural Language Processing, etc).

Education and experience

Education

Minimum Bachelor’s degree required, Masters or MBA preferred. Preferred degrees are Mechanical or Industrial Engineering or Data Analytics or Business Administration. Having a lean background or Experience with Lean, Agile/Scrum or Industry 4.0 is a pre.

Experience

Minimum 10 years of experience, preferably in a technical manufacturing/engineering environment.
Minimum 5 years of experience in people management
Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.
Knowledge of production (control) processes.
Proven track record in leading a high performance team.

Personal Skills:

Working at the cutting edge of tech, your team always will have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic and diverse work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.

To thrive in this job, you’ll need the following Skills:

Able to create an engaging and (mentally) safe team environment
Excellent listening, mentoring and coaching skills to facilitate the personal growth of people
Ambitious, enthusiastic and with a proactive, initiating attitude.
Analytical and Result oriented
Empower team members
Helicopter view
Ability to establish and maintain cooperative working relationships with manager, co-workers and internal customers.
Knows how to improve results by leveraging the knowledge and talents of people in the team
Self-assured, capable of convincing and challenging people, also at higher management levels.
Effectively managing the business scope and workload of the team by setting clear priorities

Diversity & Inclusion

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 Diversity and inclusion is a driving force in the success of our company.

Other information

Reports to Head of Operational Excellence of the EUV Factory. Please include a cover letter stating your motivation to apply for this specific role at ASML to be considered.

This position requires access to controlled technology, as defined in the 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.

Diversity and inclusion

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Work Experience: 4-9 years

Travel: 10%

Education Level: Master

Employment Type: FULL_TIME

Team: Data and Analytics

Technical Field:

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