Head of Data and AI Products

Posted:
1/14/2026, 9:18:16 PM

Location(s):
North Brabant, Netherlands ⋅ Veldhoven, North Brabant, Netherlands

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

Introduction to the job

Shape the future of data and AI at ASML, where nanometer‑scale precision meets planet‑scale impact. Join the Chief Data Office to lead the development of Data and AI product intelligence solutions that power decisions across our global value chain – from accelerating innovation to strengthening operational excellence. This is a unique opportunity at the heart of the growing semiconductor manufacturing industry, in a company that values collaboration, challenge and care.

Role and responsibilities

You will be the leader of Data, Analytics and AI Product development capabilities. This role demands a blend of developing high scale Data and AI factories, optimizing the data product portfolio for an AI-powered world, and relentlessly focusing on value.

Your main responsibilities include:

  • Strategy & operating model – Define product strategy, product federated orchestration and  factory operating principles; set portfolio guardrails (prioritization, funding, re‑use, sunsetting).

  • Lifecycle ownership – Be the process owner for the D&AI product lifecycle; ensure traceable decisions, model and data governance, responsible AI and data compliance.

  • Execution leadership – Lead the central factory; orchestrate hybrid delivery (internal, vendors, sectors) to plan and efficiently.

  • Value management – Be business outcome driven; implement measurement, benefits realization and portfolio health reporting.

  • Standards & excellence – Define product standards, benchmarking against top practices.

  • Talent & culture – Further build and coach a diverse, high‑performing team and network; level‑up product, platform, and AI fluency across the network.

  • Co‑shape transversal Chief Data Office themes and support sector initiatives.
     

Education and experience

You bring:

  • 15+ years across data/analytics/AI with scaled value delivery and leadership of large, multi‑disciplinary teams (~200+) and complex programs.

  • A master degree in a Data/AI‑related field, complemented by strong business education or equivalent experience.

  • Demonstrated command of data and AI product management, modern data/AI stacks, lifecycle tooling (MLOps/LLMOps runbooks), cost governance for AI workloads; up‑to‑date on organizational/technical best practices.

Skills

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You’ll be part of a creative, dynamic 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:

  • Executive-level stakeholder management and communication skills.

  • Growth mindset, resilience, and the ability to navigate ambiguity and lead change.

  • Strategic, analytical, and visionary thinker with a pragmatic approach to problem-solving.

  • Strong, empowering leadership style and team management abilities.

  • Proficiency in budget management, planning for optimal trade-offs of cost, risk and value.

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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ASML

Website: https://www.asml.com/

Headquarter Location: Veldhoven, Noord-Brabant, The Netherlands

Employee Count: 10001+

Year Founded: 1984

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Commercial ⋅ Electronics ⋅ Hardware ⋅ Industrial ⋅ Industrial Manufacturing ⋅ Machinery Manufacturing ⋅ Manufacturing ⋅ Nanotechnology ⋅ Semiconductor ⋅ Software