AI Strategy & Transformation Lead | Enterprise AI Portfolio
AI Strategy & Transformation Lead | Enterprise AI Portfolio
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Turning AI capability into scalable enterprise impact
We are looking for a senior AI leader who can help shape how AI is prioritized, governed, and scaled across a complex enterprise environment.
This role sits at the intersection of business strategy, technology leadership, and enterprise transformation.
It is not focused on individual AI solutions.
It is focused on how an organization turns a growing set of AI initiatives into a coherent, value-driven portfolio that delivers measurable business impact at scale.
The Role: Where AI strategy meets execution reality
This role operates within a central AI transformation or digital leadership function responsible for driving enterprise-wide AI adoption across multiple business domains.
You will work across a broad portfolio of AI initiatives, typically spanning multiple business units, technology domains, and maturity levels.
The core challenge is not identifying use cases.
It is ensuring the right things get built, scaled, and embedded into the organization.
You will operate in a high-complexity environment where prioritization, alignment, and execution discipline determine whether AI creates isolated success cases, or sustained enterprise value.
What makes this role different
Most AI leadership roles focus either on strategy definition or delivery oversight.
This role connects both.
You will be responsible for ensuring that AI moves through the entire lifecycle:
from opportunity identification → prioritization → execution → adoption → value realization.
You will:
- Define how AI initiatives are structured as a portfolio of investment priorities
- Decide what should be scaled, paused, or stopped based on strategic value and feasibility
- Align AI initiatives with enterprise transformation roadmaps
- Ensure AI investments translate into operational and business outcomes
- Shape how AI is embedded into core processes and organizational capabilities
This is not a coordination function.
It is a decision-making and value-shaping role at enterprise level.
ASML is a successful Dutch high-tech enterprise that produces complex lithography systems used by chip manufacturers in the production of integrated circuits. ASML is at the cutting edge of this technology and delivers systems to all the world's leading chip manufacturers. ASML's employees are among the most creative talents in the fields of physics, mathematics, chemistry, mechanical engineering and software. Every day they collaborate in close-knit multidisciplinary teams in which members listen to and learn from one another and exchange ideas. It is the ideal environment for professional development and personal growth. ASML is headquartered in Veldhoven, the Netherlands.
- A challenging key position within an ambitious and innovative organization, where you help shape (Gen)AI & ML innovation
- A dynamic, multicultural team of engineers, data scientists, and researchers working on real-world AI & ML at the highest level
- A permanent contract that combines stability with the freedom to put your own mark on the role
- Entrepreneurial freedom within the YER framework: space for initiative and professional craftsmanship
- Working in a close-knit, multidisciplinary, and entrepreneurial team where your vision truly matters
- International growth opportunities: development within leading-edge projects in AI, cloud, and software
- An excellent benefits package, including pension scheme and additional perks
- International support, such as Dutch language classes, tax assistance, and relocation guidance to help you quickly feel at home
Key Responsibilities
- Define and maintain the enterprise AI roadmap aligned with business and technology strategy
- Prioritize AI initiatives based on value, feasibility, risk, and organizational readiness
- Translate business strategy into structured, executable AI programs and initiatives
- Align stakeholders across business, IT, and data functions on AI direction and investment decisions
- Oversee the lifecycle of AI initiatives from concept through to adoption and value realization
- Identify structural barriers to scaling AI and define mitigation strategies at portfolio level
- Ensure governance, compliance, and responsible AI principles are embedded into transformation decisions
- Monitor portfolio performance and adjust prioritization based on outcomes and changing business needs
Your profile
You are a senior leader who operates beyond delivery.
- 10+ years of experience in AI, data Leadership, digital transformation, or complex program/portfolio leadership
- Proven track record of driving large-scale transformation initiatives in enterprise environments
- Strong experience working with senior executive stakeholders across business and IT
- Ability to translate strategic objectives into structured portfolios and execution roadmaps
- Understanding of AI, data, and digital technologies at a conceptual and applied level
- Experience with prioritization frameworks (value, risk, feasibility, readiness)
- Strong capability in managing ambiguity, competing priorities, and organizational complexity
- Familiarity with governance, risk, and compliance in technology-driven transformation
You will likely succeed here if you
- Think in terms of enterprise outcomes, not individual projects or technologies
- Understand that scaling AI is primarily an organizational and prioritization challenge
- Are comfortable making trade-offs between competing strategic priorities
- Can align senior stakeholders around difficult decisions on investment and focus
- Know that adoption and value realization matter more than delivery output
- Bring structure to ambiguity without over-engineering governance or process
Environment
You will operate in a large, complex, high-tech enterprise environment characterized by:
- Multiple concurrent AI and digital transformation initiatives
- Distributed ownership across business, IT, and data domains
- High expectations around compliance, security, and operational reliability
- Strong pressure to demonstrate measurable business value from AI investments
- International stakeholder landscape across multiple functions and regions
Success definition
Success is measured by:
- A coherent and prioritized AI portfolio aligned with enterprise strategy
- AI initiatives that deliver measurable and sustained business value
- Clear decision-making on where to invest, scale, or stop initiatives
- Improved alignment between business objectives and technology execution
- Reduction of fragmented or duplicated AI efforts across the organization
- Effective translation of AI capability into operational transformation
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