Marketing has always depended on understanding customers. What has changed is the sheer volume and complexity of the data now available to support that understanding, and the organizational infrastructure required to manage it. Customer data flows through CRM systems, marketing automation platforms, e-commerce applications, social channels, and customer service records, each accumulating signals about behavior, preference, and intent. In theory, this abundance makes marketing more precise. In practice, it creates a new class of organizational challenge: who is responsible for this data, and how do the executives with complementary stakes in it actually work together?
The relationship between the chief marketing officer and the chief data officer sits at the center of that challenge. The CMO owns the customer relationship and the revenue objectives that depend on it. The CDO owns the data infrastructure, governance frameworks, and quality standards that determine whether the CMO's strategies can be executed effectively. These roles are deeply interdependent. They are also, in many organizations, poorly coordinated.
The CDO Role: Still Being Defined
The chief data officer is a relatively recent addition to the executive suite, and its responsibilities are not yet uniformly understood. This ambiguity creates real friction. In some organizations, the CDO title signals a focus on data governance and regulatory compliance. In others, it encompasses data strategy, analytics leadership, and the oversight of data as a business asset. In still others, functions that might logically belong to a CDO are distributed across the CIO, the chief digital officer, and the heads of individual business units.
This lack of definitional consistency matters because it determines what the CDO actually controls and therefore what the CMO can reasonably expect from that relationship. If the CDO is primarily oriented toward risk and compliance, the collaboration with marketing will look very different than it would with a CDO who is empowered to drive data as a source of competitive advantage.
What is consistent across organizations at higher levels of data maturity is that the CDO role carries genuine authority over how data is structured, governed, and made accessible across the enterprise. In those environments, the CMO has a genuine partner with the organizational standing to solve the kinds of data problems that marketing initiatives run into repeatedly.
Data Maturity and the Marketing Function
Organizations vary considerably in how systematically they manage their data assets, and that variation has direct consequences for marketing effectiveness. At lower levels of data maturity, marketing teams rely on data that is inconsistent across systems, difficult to integrate, and governed by different standards in different parts of the organization. Customer records that mean different things in the CRM and the e-commerce platform make it impossible to build the unified view of the customer that personalization and targeting depend on.
At higher levels of maturity, data definitions are standardized, governance processes are enforced, and data quality is actively managed rather than sporadically addressed. Marketing teams in these environments can build campaigns on a foundation they trust, measure outcomes against data they know to be accurate, and apply analytics to customer data that is genuinely comparable across touchpoints and time periods.
The CMO's ability to leverage emerging capabilities, including AI-powered personalization, predictive analytics, and real-time decisioning, depends entirely on which of these environments they are operating in. AI does not improve data quality; it amplifies whatever quality is already present. An AI system trained on inconsistent, poorly governed customer data produces inconsistent, unreliable outputs. The inverse is also true: well-governed data enables AI to deliver on its promise in ways that directly benefit marketing performance.
Despite this dependency, many CMOs have not yet developed a systematic working relationship with their organization's data function. The marketing data challenge tends to be addressed reactively, project by project, rather than through a structural partnership that ensures the data environment is continuously improving in support of marketing objectives.
GDPR as a Catalyst for Honest Reckoning
The General Data Protection Regulation, which took effect in 2018, had an effect on enterprise data practices that extended well beyond its specific compliance requirements. For many organizations, preparing for GDPR was the first time they conducted a rigorous inventory of what customer data they actually held, where it lived, who owned it, and how it was being used. That process was often revelatory, and not comfortably so.
Organizations discovered customer records scattered across systems that had never been properly integrated. They found data collected for purposes that were no longer clearly documented. They encountered inconsistent definitions of what constituted a customer record, which made the task of managing consent and honoring deletion requests far more complex than it should have been.
The compliance deadline created urgency that routine data quality work rarely generates. And the work done to achieve compliance, documenting data flows, establishing ownership, improving data governance, created a foundation that had value far beyond regulatory requirements. Organizations that treated GDPR as an opportunity to genuinely improve their data infrastructure emerged with cleaner, better-governed customer data that was more useful for marketing purposes, not just more compliant.
This experience made the case, in practical terms, for the kind of CDO-led data governance that many organizations had previously treated as a theoretical good. When the cost of poor data governance becomes visible and urgent, the organizational appetite for addressing it grows accordingly.
The Structural Case for Collaboration
The core argument for closer collaboration between the CMO and CDO is straightforward: marketing strategy and data strategy are not separable. Every major marketing initiative, whether it involves customer segmentation, personalization, attribution modeling, or predictive targeting, makes demands on the data environment. When those demands are not anticipated and the data environment is not ready to meet them, marketing programs underperform or fail entirely, for reasons that are often misattributed to the strategy itself rather than to the data on which it depends.
A structural partnership between the CMO and CDO addresses this by ensuring that data considerations are part of marketing planning rather than an afterthought. The CDO brings visibility into what data assets exist, what their quality and coverage limitations are, and what investment would be required to make them suitable for specific marketing applications. The CMO brings clarity about what the marketing function actually needs: which customer dimensions matter, which use cases are highest priority, and what business outcomes the data investment needs to support.
This conversation does not happen automatically. It requires deliberate organizational design: shared objectives that create genuine accountability on both sides, regular joint planning processes, and governance structures that give both functions visibility into the data decisions that affect them.
Models for Making It Work
Organizations that have made the CMO-CDO relationship productive share a few structural characteristics. The most effective arrangements involve clear role definition that eliminates ambiguity about who owns what. When the CDO's mandate includes the quality and governance of marketing data, and when that mandate carries genuine organizational authority, the partnership has a clear foundation.
Joint ownership of outcomes is another distinguishing feature. When both the CMO and CDO are measured against marketing performance metrics that depend on data quality, the incentive structure supports collaboration rather than working against it. Shared metrics create shared interest in solving the underlying problems.
Regular communication structures, including standing forums where data and marketing leadership review the state of the data environment against marketing needs, prevent the reactive, crisis-driven pattern that characterizes less mature arrangements. They also create the ongoing feedback loop that allows the data environment to evolve in response to changing marketing requirements rather than always lagging behind them.
The organizations that get this right treat the CDO-CMO relationship not as a coordination challenge to be managed but as a strategic partnership to be invested in. The returns, in the form of more effective marketing, better data, and improved AI readiness, compound over time.
This article draws on insights from Seth Earley's paper "Communication and Collaboration Between CDO and CMO," originally published in the Journal of Applied Marketing Analytics, March 2019.
