Looking back on a career in IT, I wanted to reflect on the 20-plus years I spent working in and running data centers for Fortune 500 companies in the New York and New Jersey area. This was an exciting time leading both large and small teams through some of the most complex transformations in IT infrastructure. That included designing a trading floor infrastructure for a major bank that was implemented globally, overseeing the merger of two banks with very different IT backbones, driving a mainframe-to-open-systems modernization effort, managing a data center consolidation, and establishing global IT standards.
Today, the challenges to the job are even more profound than transitioning from mainframes to the Internet, digital, mobile, and cloud world. With the advent of AI and explosive data growth from so many more devices and applications, IT infrastructure leaders must rewrite their stories to keep pace.
After moving to the vendor side several years ago and working as a Senior Solutions Architect at Komprise, I get to work with IT leaders daily. I see just how much the role of the infrastructure or data center director has changed. Here’s how I see the shift with some tips for IT infrastructure directors and executives to stay relevant in their organizations while navigating these cataclysmic shifts in technology and work.
A Shift Toward Complexity and Constant Adaptation
The job of managing data centers and infrastructure has become more multi-faceted. It is no longer just about uptime and physical infrastructure. Directors are now expected to understand a rapidly expanding universe of technologies. There is increased separation of duties and new responsibilities that did not exist 10 years ago. Add in constant security threats, cloud optimization demands, and the exponential growth of unstructured data which requires ensuring that it is accessible where needed, but in a safe, secure manner and the scope of the role expands fast. And while all of this happens, IT budgets are being squeezed. The mandate remains the same: do more with less.
The Unstructured Data Growth Challenge
A resounding pressure point today is storage and the relentless growth of unstructured data. Recent estimates from IDC show that over 80 percent of enterprise data is unstructured, and that volume is expected to reach 291 zettabytes by 2027.
How do you back it all up in a timely way? How do you replicate it for disaster recovery? How do you ensure protection and accessibility? How do you efficiently prepare it for AI ingestion? It has really come down to understanding that all data is not the same, and you must treat data differently so that you can be efficient in your management of the data. Knowing what data you have, where it lives, and what value it offers is now a core competency for any infrastructure leader.
Hybrid IT and Simplification as a Strategy
Over the past few years, I have seen storage and infrastructure strategies shift significantly. The old model of managing everything the same way is obsolete. My approach has always been to keep environments as simple and basic as possible to reduce unnecessary complexity. In today’s typical hybrid IT landscape, that means using tools that are vendor-agnostic, that work across on-prem, outsourced, and cloud environments, and that give you a single dashboard to make informed decisions.
AI, Cost Cutting, and Evolving Job Roles
There is a lot of noise about AI taking over roles in IT. I do not believe that infrastructure managers, storage engineers, or data center professionals should fear for their jobs. However, relying on the status quo is not a strategy. The one thing that I have seen as a necessity for IT personnel is the ability to adjust and evolve as changes have appeared in the IT arena.
One thing is certain; AI is becoming ingrained across the business, and IT must be able to support it across every function. Nearly 90% of enterprises report regular AI use in at least one business function, compared with 78 percent in 2024, according to 2025 research from McKinsey. Learning how to work with AI, understanding its use cases and business applications, and knowing how to prepare the right data for it are key new skills. Equally important is staying current with cloud technologies and security best practices.
Balancing Cost, Security, and AI Readiness
IT leaders are being asked to walk a tightrope. On one side is the need to control cost and ensure security. On the other side is the drive to make data accessible and ready for AI. Yet these demands are interlinked. Cost control and security are critical to ensure that AI ambitions don’t fail or stall. Without security, AI becomes a liability rather than an advantage. The question facing today’s IT directors is along the lines of: “How do we make data more accessible without increasing risk or cost?” Success will come from integrating these requirements, not prioritizing one at the expense of the other.
Why It Is Still an Exciting Time to Work in IT Infrastructure
There is such a tremendous amount of growth in the amount of data being generated, and data has moved from a support function to a true driver of decisions, products, and strategy. Data is now central to every organization, from predicting outcomes, automating decisions, and personalizing experiences in real-time. Add to the fact that both AI and ML have accentuated the value of data, and there’s a lot of opportunity in this area for people who want to grow their careers and remain in IT infrastructure.
The ability to efficiently and strategically manage data and build the right environment for cost control along with flexibility and innovation is a huge need for the enterprise. In our recent industry survey (link) we found that AI data management is a top desired skillset, and organizations are prioritizing hiring individuals who can confidently lead the AI infrastructure discipline.
What’s Ahead for 2026 and Beyond
Looking ahead, I expect infrastructure directors to move beyond managing infrastructure to leading transformation. This means aligning technology with business strategy in areas such as AI integration, cybersecurity, cost control, and workforce development. AI is moving beyond the hype; it’s becoming increasingly relevant in production workflows. Security will continue to be a priority and will need to be addressed. Lastly, bridging the talent gap and reskilling existing workforces should be a focus.
Five Tips for Adapting as a Modern Infrastructure Leader
- Treat data differently
Stop managing all data the same way. Understand what is valuable, what is redundant, what is creating undue risks, and what needs to be accessible. Prioritize accordingly. - Focus on vendor-agnostic tools
Choose solutions that work across vendors, technologies and architectures and reduce lock-in. This simplifies operations, reduces cost and delivers better agility. - Invest in learning AI concepts
You do not need to be a data scientist. But you should understand how AI uses data, and how to prepare infrastructure to support it with proper governance. - Stay current with security developments
Security threats evolve constantly. Keep up with best practices and build security into every aspect of data and infrastructure management. Partner with the CSO. - Use simplicity as a guiding principle
Complexity creates risk and inefficiency. Whenever possible, simplify tools, processes, and architectures.
Final Thoughts
The infrastructure director’s role is not what it used to be, and that is a good thing. The scope has grown, the influence has deepened, and the strategic value of IT is clearer than ever. While the challenges are many, so are the opportunities. Those who can adapt, simplify, and lead through change will continue to be essential to their organizations.
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About the Author:
Paul Romano is a Senior Solutions Architect at Komprise. He has 25 years’ experience at Fortune 100 companies, possessing significant expertise in setting IT direction and policies, data center build outs and migrations, IT architecture, server and endpoint security, penetration testing, establishing productions support standards and guidelines, managing large IT projects and budgets, and integrating new technologies/technology practices into existing environments.
