
Global enterprises with fragmented data environments cannot scale AI consistently across regions until they establish a unified, governed data foundation.
Ramin Rastin, SVP of Data Engineering & Advanced Data Sciences at GXO Logistics, explained how a data-first strategy transformed internal AI work into a revenue-generating product.
Rastin's model positioned the CIO as a revenue driver whose most valuable work is governing the data foundation that makes AI scalable and commercially viable.
For decades, the Chief Information Officer was the person who kept the systems running. Technology operated in the background, debt accumulated quietly, and the role was defined by stability over strategy. That model is breaking down. The CIO is emerging as the enterprise's intelligence orchestrator: a business partner responsible for internal systems, and increasingly for the data foundations and AI strategy that drive revenue. As AI continues to remake executive roles, the CIO is being pulled into territory once reserved for product leaders and revenue owners, and the organizations moving fastest are the ones whose technology chiefs got there first.
Ramin Rastin is the SVP of Data Engineering & Advanced Data Sciences at GXO Logistics, the world's largest pure-play contract logistics provider, where he leads the data foundations and AI capabilities that power its global operations. Before GXO, Rastin held senior technology leadership roles at BetMGM and Spectrum, and was named an ORBIE Award CIO of the Year. He came to GXO with a clear conviction: that the CIO's job is to be a business partner first, and a technologist second.
"CIOs now are more of a business partner than anyone else in the company. We have to ensure business continuity, modernize technical debt, scale new products, and at the same time, just like doctors, do no harm to the business," said Rastin. For him, that framing is not aspirational. It reflects the daily reality of running technology for a 148,000-person global operation while simultaneously building the AI-powered products the business depends on for growth.
At GXO, that redefinition is playing out at a massive scale. But for Rastin, the transformation is more than technical, it's political. Getting anything done requires buy-in from the board, the CEO, and the CFO. He explained that today's technology leaders are more of a business partner than ever before, navigating the balancing act between stability and innovation. In this environment, the lines between the CIO and the CTO can begin to blur.
A family affair: "It becomes almost a brotherly and sisterly love between all of us. I truly make my stakeholders, including the board of directors, our CEO, and the CFO, really understand that in order for us to grow and scale as a company, the technology has to be able to keep up," said Rastin. That alignment, he noted, extends all the way to operations, and without it, even the strongest technology strategy stalls.
Rastin's strategy began not with a flashy application, but by establishing what he calls the "absolute baseline," a focus on the company's most fundamental asset: its data. The primary goal of his first two and a half years was a project to standardize this data by aggregating disparate databases into a single source of truth. That work in Master Data Management became the foundation for the company's innovation strategy.
The conductor: "Now I'm standing there like a conductor, and I'm literally having every region sing the same tune," said Rastin. That standardization, he explained, transformed what had been a fragmented, region-by-region operation into a platform from which new technology could be launched or migrated cleanly across the entire organization.
Lost in translation: "When I walked in, I realized we were defining something as simple as an employee differently in every single region," said Rastin. Resolving that required bringing operations, finance, marketing, and HR to the table, not as a technology exercise, but as a business one. "In a logistics company, we had different definitions for what a warehouse is. In reality, we had different definitions for a warehouse even within the same region," he added.
With that standardized data foundation in place, GXO could pursue a pragmatic AI strategy. However, there was a problem. The vendor market, Rastin found, was not built for an operation of GXO's complexity, and no off-the-shelf solution could address the scale and specificity of its needs.
Internal solutions provider: "As a business partner, my team's role is helping the business see where we can automate and take the burden off of manual tasks," said Rastin. At GXO, where labor represents the single largest operating cost, that means building predictive models to forecast workforce needs across warehouse floors, loading docks, and transport operations.
One size fits none: "A lot of people keep coming to me wanting to sell me technology, but none have my solution," said Rastin. "They have a generalized logistical solution that might have worked for DHL, as an example. But it doesn't work for me at GXO." Instead, he explained, GXO partners with major platform providers as the foundation, building its own custom solutions on top.
The payoff for that foundational work is GXO IQ, a product that improves efficiency and generates revenue. Launched to the market and built by Rastin's internal organization, the platform takes the insights gleaned from GXO's standardized dataset and sells them back to Fortune 500 customers. The AI-driven product, powered by heavy use of predictive modeling, turns internal data work into a product GXO can sell, driven by the finding that GXO can often predict its customers' business needs more accurately than they can themselves.
"As the internal CIO, it's my product," he said. "My team is building it by envisioning the solution and correcting the business challenge, while the CTO's role is focused on communicating that vision. This is how the lines are blurring between internal support and external, revenue-generating innovation."





