Meta names Alex Schultz its first chief data officer and promotes Denise Moreno to CMO as leadership shifts toward AI

Meta Platforms has reshuffled senior leadership, elevating executives in roles that put data and marketing at the center of its next phase. According to a market report published Tuesday, Meta appointed Alex Schultz, described as a longtime marketing chief, as its first chief data officer, and promoted Denise Moreno to chief marketing officer. The moves announcement an attempt to align how the company uses data with how it goes to market, at a time when industry and investor attention is increasingly focused on AI capabilities.

Chief data officer is a newly positioned top role at Meta in this reporting, giving Schultz a central function over the company’s data strategy. Chief data officers typically own how data is collected, governed, and used across products, and for ad platforms that can translate into how effectively targeting, measurement, and ranking systems work. In Meta’s case, that also ties into the broader push to use machine learning and AI across ads and recommendations, where data quality and model performance matter.

The same report said Moreno was elevated to chief marketing officer. That change moves a marketing leader into a role that typically oversees brand strategy and advertising go-to-market, and in Meta’s environment it can also influence how customer insights and performance data are translated into campaigns. Both appointments suggest Meta is trying to connect “what the company knows” with “how it sells,” rather than treating data and marketing as separate tracks.

Market analysis accompanying the reshuffle argued that the leadership changes coincide with a valuation debate. Simply Wall Street framed Meta as potentially “24% below fair value” after the reshuffle, pointing to Meta’s share-price volatility and a larger longer-term record. The analysis cited a 1-day decline of 4.9% and a year-to-date decline of 10.4%, while also stating a 3-year total shareholder return of 102.4%. It also referenced a comparison between a last share price of $582.90 and an illustrative fair value of $723.11, using the discount as part of its thesis.

The valuation discussion, however, is not company guidance. Meta did not, in the material available here, provide an earnings forecast, a detailed AI roadmap, or financial targets tied directly to the reorganization. Instead, the information indicates a governance shift inside leadership, with the interpretation focused on whether that organizational realignment supports durability in Meta’s profits and its ability to convert AI efforts into ad performance.

Meta’s business context makes those roles especially consequential. The company’s advertising system depends on data inputs and models to predict user behavior and ad relevance, while marketing leadership helps shape how products and value propositions are communicated to advertisers. As AI infrastructure and model deployment become more central to digital advertising competitiveness, companies often reorganize to ensure data and AI initiatives have clear ownership and are tightly coupled to commercial outcomes.

Still, several key details are not disclosed in the available reporting. Neither the internal scope of Schultz’s responsibilities as chief data officer, nor the specific operational changes created by Moreno’s promotion, are spelled out. The available material also does not tie the leadership reshuffle to any specific product launch, contract, or timetable, leaving investors to infer how quickly the changes could affect execution and results.

Investors and analysts will likely watch for confirmation in upcoming company communications, including whether Meta’s management structure is reflected in subsequent investor presentations and whether performance indicators tied to ads and AI systems improve in a way management attributes to organizational changes. Absent new disclosures, the leadership reshuffle appears positioned as a strategic alignment move, with its real impact measured through future financial results and product-ad effectiveness metrics.