Technology
May 5, 2026
Technology


The appointment of Jurgen Hofkens as EMEA and LATAM CTO is a signal about where enterprise technology is heading, and what companies are actually struggling with when it comes to AI, data sovereignty, and cloud strategy.
There is a conversation happening in boardrooms and IT departments across Europe, the Middle East, Africa, and Latin America right now, and it sounds remarkably similar regardless of the industry or the country. How do we turn our data into an AI advantage? How do we keep it sovereign, private, and secure? And how do we retain the flexibility to run workloads wherever the business actually needs them, whether that is on-premises, at the edge, or across multiple clouds?
These are not abstract technology questions. They are strategic business questions with significant financial and regulatory consequences, and the enterprises asking them are running out of patience for answers that involve more complexity rather than less. NetApp has just made a significant bet on its ability to provide those answers, appointing Jurgen Hofkens as Chief Technology Officer and Vice President of Sales Engineering for EMEA and LATAM, effective 1 May 2026.
Hofkens is not a conventional enterprise technology executive. His career has moved across the full spectrum of infrastructure, from co-founding GIG Technology and building a distributed object and block storage platform from the ground up, to serving as EMEA CTO and Head of Sales Engineering at Alcatel-Lucent, where he also ran its Telco Software P&L. Most recently, he spent time at AWS leading the full go-to-market for AI infrastructure across EMEA, owning strategy, technical field execution, and customer outcomes as enterprises scaled from AI experimentation into production environments.
That last role is particularly relevant context. The AI infrastructure challenge that enterprises are grappling with right now is not primarily a research problem or a model selection problem. It is an operational problem. Getting from a successful AI pilot to a production deployment that works reliably, at scale, across a complex hybrid infrastructure is where most organizations are currently stuck. Hofkens has spent the past several years sitting with exactly that problem on behalf of some of Europe's largest enterprises.
Bringing that experience into NetApp's technical leadership for a region as diverse and strategically important as EMEA and LATAM is a deliberate move, not a routine hire.
"Every CIO and CISO I speak with is asking the same three questions: how do I turn my data into an AI advantage, how do I keep it sovereign, private, and secure, and how do I keep the flexibility to run it wherever the business needs it?" said Hofkens. "NetApp sits at the intersection of those questions like no other company."
That framing is worth unpacking because it reflects a genuine shift in how enterprise technology decisions are being made in 2025 and 2026. For much of the previous decade, the dominant narrative was cloud-first: move everything to the public cloud, reduce on-premises infrastructure, and consolidate around one or two hyperscaler relationships.
That narrative has not collapsed, but it has become significantly more complicated. Data sovereignty regulations have proliferated across Europe and Latin America, creating legal obligations about where data can reside and who can access it. Cybersecurity threats have intensified to the point where data protection is now a board-level concern rather than an IT department one. And the economics of running large AI workloads in the public cloud have pushed many enterprises back toward on-premises or hybrid architectures for certain categories of compute.
The result is that the CIO's job has become less about picking a cloud strategy and more about managing a genuinely complex multi-environment reality where data needs to move fluidly and securely across on-premises infrastructure, edge locations, and multiple cloud providers simultaneously.
NetApp describes itself as an Intelligent Data Infrastructure company, which is the kind of category label that can sound like marketing language until you examine what the enterprise problem actually requires. The companies best positioned to help enterprises navigate the AI, sovereignty, and flexibility challenge are those that can operate credibly across the full data infrastructure landscape rather than those optimized for a single environment.
NetApp's core strength has historically been in storage and data management, but the company has invested heavily in extending that capability across hybrid and multi-cloud environments. The argument is that a company with deep expertise in how data is stored, moved, protected, and made accessible across diverse infrastructure is better positioned to solve the current enterprise challenge than either a pure cloud vendor or a pure on-premises hardware provider.
Hofkens will lead the region's technical strategy and customer engagement, reporting to Willem Hendrickx, SVP and General Manager for EMEA and LATAM. The structure matters because it pairs technical leadership with direct commercial accountability, which is the right organizational model for a moment when technical decisions and business outcomes are inseparable.
"Our customers and partners are navigating a once-in-a-generation shift: making their data ready for AI, hardening it against new cyber threats, and running it seamlessly across clouds and on-premises," said Hendrickx. "Jurgen's appointment reflects our commitment to stand shoulder-to-shoulder with them, backed by the deepest technical expertise in the industry."
There is one detail in this announcement that deserves more attention than it typically receives in coverage of executive appointments. NetApp is simultaneously growing its sales engineering, AI, and cybersecurity teams across EMEA and LATAM. The Hofkens hire is not a standalone move. It is the tip of a broader organizational investment in technical depth across the region.
That investment reflects a bet that the current enterprise technology moment rewards companies that can deploy serious technical expertise directly into customer conversations, rather than those that rely on product marketing to carry the message. Enterprises navigating genuinely complex AI and data sovereignty challenges are not making purchasing decisions based on whitepapers. They are making them based on whether the vendor across the table actually understands their specific infrastructure reality and can help them solve it.
Hofkens put his own approach to that challenge directly: "I intend to spend the coming months on the ground with our customers and partners across EMEA and LATAM, listening, challenging, and co-designing what intelligent data infrastructure looks like for their business."
In an industry that often defaults to selling solutions before fully understanding the problem, that is a posture worth taking seriously.
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