A data hire that doubles as a strategy statement
Reward's business runs on transaction and behavioral intelligence, the kind of proprietary purchase data that commerce media and loyalty companies increasingly compete to monetize on behalf of retail and consumer brand clients. Hiring Matthew Keylock as Chief Data and Analytics Officer to oversee all global data, analytics, and insight capabilities is less an incremental staffing update than a statement about where the company believes its next phase of growth actually comes from, and how directly that growth depends on data leadership rather than sales or product alone.
CEO James House was explicit about the reasoning in his public comments, describing data and insight as being at the heart of Reward's business and calling the company's transaction intelligence a defining strength. He specifically credited Keylock with an exceptional track record of turning data into commercial value, language that goes well beyond the usual welcome-aboard press release and reads more like a direct answer to clients who might otherwise question why a commerce media company needs its own dedicated data chief at all.
The dunnhumby pedigree still carries weight
Keylock's career includes senior roles at dunnhumby, the Tesco-born customer data science firm widely credited with proving that grocery loyalty-card data could be turned into a standalone, highly profitable analytics and media business rather than just an internal merchandising tool. Executives who trained inside dunnhumby's model tend to carry a specific discipline into new roles: treating transaction data as a product to be licensed and monetized carefully on behalf of retail and brand partners, rather than simply a dataset to be mined internally for merchandising decisions and left there.
His time at Yoox Net-A-Porter Group adds luxury and fashion e-commerce experience to that grocery-data foundation, giving him exposure to a very different purchase cadence and customer relationship than grocery retail typically produces. His most recent role running global data and analytics at Mars Petcare shows he has already built and scaled a data function inside a large, decentralized consumer goods company spanning dozens of brands and markets, arguably the closest previous role on his resume to what Reward is now asking him to do at its own, smaller but considerably faster-moving scale.
Rezolve Ai's fingerprints are on this hire
Reward now operates as a Rezolve Ai company, and House's public comments explicitly tied Keylock's arrival to what Rezolve Ai's involvement adds to how the combined business can innovate around personalization and targeting. That framing suggests the hire is not purely a Reward initiative but part of a broader integration plan where Rezolve Ai's AI capabilities and Reward's transaction dataset are meant to compound each other under a single, unified data leadership function rather than staying organizationally separate.
For clients and competitors watching commerce media consolidation generally, a senior data hire timed closely to an ownership or structural change is usually a tell that the acquiring or partnering company wants a credible, externally hired executive setting technical direction and governance early, before internal politics or legacy systems from either side calcify into a slower, messier integration than either leadership team originally wanted or budgeted time for.
What Keylock actually has to build
Keylock's own public comments focused on turning rich data and the right technology into competitive advantage, language that is generic on its own but points toward a specific technical mandate: building the infrastructure and governance needed to let Reward's transaction dataset support hyper-personalization at a pace and scale it likely could not achieve under its previous data leadership structure, while AI capability across the industry keeps expanding what counts as achievable in the first place.
The lift required is heavier than the press-release language suggests. Hyper-personalization built on transaction data requires clean identity resolution across channels, privacy-compliant data-sharing agreements with retail partners, and analytics infrastructure that can serve real-time targeting decisions rather than only retrospective reporting delivered weeks after the fact. Keylock's three-decade track record suggests he has assembled pieces of this before at Mars Petcare and dunnhumby, but rarely at a company moving as fast, or integrating with as new an ownership structure, as Reward is right now.
The broader signal for commerce media and loyalty players
Reward's hire fits a pattern across commerce media, loyalty, and retail data companies that are all competing for the same retailer ad budgets: recruiting executives with proven grocery or consumer-packaged-goods data pedigrees, often specifically from dunnhumby's alumni network, rather than generalist chief data officers with broader but shallower industry experience spread across unrelated sectors. That pattern is becoming a reliable signal of where these companies believe their real defensibility comes from.
For CIOs and CDOs at retailers evaluating which commerce media or loyalty vendor to partner with, the caliber of who a vendor hires to run its data function is itself a useful due-diligence signal worth weighing alongside product demos and case studies. A vendor recruiting genuinely senior, specialized data talent is telling you something concrete about how seriously it takes the underlying data discipline that its entire commercial pitch depends on, well before that discipline shows up in a quarterly performance report or a renewal negotiation.
