What Is the Role of the Chief Data Officer in the Agentic Era?

The chief data officer role is at a turning point. Not the kind that arrives with a new job title or a reorganisation. The kind that decides whether the role survives at all.

A Chief Data Officer is the executive responsible for turning an organisation’s data into trusted, governed and commercially valuable capabilities. In the agentic era, that responsibility expands to how AI agents access data, make decisions, generate new data and operate within accountable boundaries.

Here is the argument in short: the agentic era is not an incremental shift for data leaders. It is a structural reset. The CDO who designs and governs the agentic layer moves the data function from the back office to the front line of commercial strategy. The one who hesitates will watch another function claim it by default.

This is the chief data officer's moment. Or it is the moment the role becomes optional.

The job nobody quite trusted

The chief data officer role has always carried a strange tension. Created in the wake of the 2008 financial crisis, it was meant to bring discipline to an organisation's most valuable asset. But discipline was never quite the same as power.

Nearly a third of CDOs, chief AI officers, and people with similar roles at Fortune 1000 companies do not believe in the long-term future of the CDO position. Just over 29% of those surveyed by the Data & AI Leadership Exchange believe the CDO role is a transitional one that will eventually disappear. Almost half of those surveyed believe the position is nascent, evolving, and often a revolving door.

Why? Because many CDOs have been hired as change management specialists, brought in to help organisations embrace data-first strategies and adopt good data practices. The problem is that once the change is made, the role starts to look redundant.

As Randy Bean, senior advisor to the Data & AI Leadership Exchange, put it: the CDO role is about "trying to get an organisation from the way they've operated in the past to basically having data in their DNA. As that's achieved, does the role need to continue on?"

That question now has an answer. But it is not the answer many CDOs expect.

Three eras, one recurring problem

The whitepaper The CDO in the Agentic Era describes three eras of data leadership. Each one left a gap.

The Big Data Era was about foundations: building data lakes, establishing governance, getting the infrastructure right. The gap it left was value. Organisations had data. They did not know what to do with it.

The Impact Era was about proof: demonstrating that data could drive decisions, generate insights, improve outcomes. The gap it left was action. Organisations could see what data told them. They could not make it do anything at scale.

The Agentic Era is different. It is not about insight. It is about autonomous action. AI agents do not just tell you what happened. They decide what to do about it. They execute. They adapt. They learn.

This changes everything for the chief data officer.

What the agentic era actually asks of the CDO

Here is the shift: the CDO's job is no longer to deliver insight. It is to enable closed loop decisioning, where data flows directly into action without human intervention at every step.

The agentic layer is fundamentally a data layer. Agents consume data. They make decisions based on data. They generate data. They create new data dependencies. Every agent that runs in your organisation is, at its core, a data product with agency.

That means the chief data officer responsibilities now include:

• Designing the agentic layer. Not just governing it, but architecting how agents access, use and produce data.
• Owning agent lifecycle governance. Commissioning, monitoring, retirement. The same discipline CDOs brought to data governance now applies to agents.
• Building trust through transparency. If agents are going to act autonomously, someone has to be able to explain what they did and why.
• Closing the loop from insight to action. The CDO is often the executive best positioned to connect the data lifecycle with the governance of AI-driven decisions.
  

The Gartner forecast from June 2025 makes the stakes clear: more than 40% of agentic AI projects will be cancelled by the end of 2027, not because the technology failed, but because of escalating costs, unclear business value or inadequate risk controls. The dominant cause is governance failure.

Who is better placed to own that governance than the chief data officer?

CDO then vs now

Back office to front line, or displaced

The numbers are vivid enough to demand attention. By 2028, the average Fortune 500 enterprise will operate more than 150,000 agents, up from fewer than 15 in 2025. That is not a gradual increase. That is a step change in how organisations run.

Here is the uncomfortable question: who owns those 150,000 agents?

If the answer is not the CDO, it will be someone else. The CIO. The CTO. The Chief AI Officer. A newly created role that absorbs the CDO's responsibilities and puts them under a different title.

The CDO who designs and governs the agentic layer moves the data function from the back office to the front line of commercial strategy; the one who hesitates will watch another function claim it by default.

This is not alarmism. It is a recognition that the chief data officer role has always been positioned as a supporting function. The agentic era makes it central. But only if the person in the role claims that centrality.

Frequently asked questions

What is the role of the CDO in the agentic era?

The CDO's role shifts from delivering insight to enabling autonomous action. The agentic layer is fundamentally a data layer, and the CDO is the executive best placed to design, govern and trust it. The mandate moves from the back office to the front line of commercial strategy.

How is the CDO role changing?

It is changing from a change management and governance function to a strategic role that owns the design and operation of the agentic layer. CDOs now need to understand agent lifecycle governance, closed-loop decisioning, and how to build trust in autonomous systems.

What are a Chief Data Officer's core responsibilities today?

Core responsibilities include designing the agentic layer, owning agent lifecycle governance (commissioning, monitoring, retirement), building trust through transparency, and closing the loop from insight to autonomous action. The CDO is often the executive best positioned to connect the data lifecycle with the governance of AI-driven decisions.

Why do so many CDOs not see a future in the role?

Just over 29% of CDOs and similar roles believe the CDO position is a transitional one that will eventually disappear. Many see their role primarily as change management, and once organisations have adopted good data practices, the role can seem redundant. The agentic era changes this by giving the CDO a permanent, strategic mandate.

What is the difference between a data officer and a Chief Data Officer?

A data officer typically focuses on operational data management, governance and compliance. A Chief Data Officer operates at the executive level, with responsibility for data strategy, value creation and now the agentic layer. The CDO role is strategic; the data officer role is operational.

What does it mean for a CDO to "own the agentic layer"?

It means the CDO is accountable for how AI agents access, use and produce data across the organisation. It includes designing the architecture, governing the lifecycle, building trust through transparency, and ensuring that autonomous decisions are safe, valuable and accountable.

The CDO's moment, if they take it

The chief data officer has spent years fighting for a seat at the table. The agentic era does not just offer that seat. It demands it.

The alternative is not a gentle fade into irrelevance. It is displacement. Another function will claim the agentic layer. The CDO's responsibilities will be absorbed. The role will become, as 29% of its holders already suspect, transitional.

But that is not inevitable. The CDO who steps forward now, who designs the agentic layer rather than waiting for someone else to define it, who governs the 150,000 agents rather than watching them proliferate unchecked, does not just secure the role. They redefine it.

This is the moment ambitious data leaders have waited for. The question is whether they take it.

For the full argument, including the detailed framework for owning the agentic layer and the complete governance model, download the full paper.

If you are a CDO or senior data leader actively designing your organisation's approach to agentic AI, AND Digital's Guide, Build, Equip model works with leadership teams to design, build and embed the capabilities that let agentic AI scale safely and productively.

The role is not disappearing. It is being remade. The only question is who does the remaking.