Chief Data Officer (CDO): what they do, what they earn, and how to become one

The Chief Data Officer, or CDO, is the executive responsible for treating the company's data as a strategic asset, not as a side effect of the systems. They answer a question that sounds simple but that almost no organization can answer with confidence: can the company trust its own data to make decisions? While the CIO takes care of technology and the CFO takes care of money, the Chief Data Officer takes care of data as an asset, defines who owns each piece of information, ensures quality, governance, and responsible use, and connects all of it to business results.

In practice, the CDO is the person who sits at the board table and says, with numbers, how much the company loses because of poor master records, duplicate suppliers, customers defined differently across areas, and reports that don't add up. For a long time this role was seen as technical support. That has changed. In 2026, the Chief Data Officer became a board-level position because it became clear that data stopped being an operational matter and became a factor of competitiveness. Whoever decides faster and with more confidence wins market share, and nobody decides well on top of a messy database.

What a CDO does in practice

People who have never lived through a data project imagine the CDO spends the day looking at pretty dashboards. The reality is far more concrete. The work starts with defining the company's data strategy, that is, deciding which data matters, what for, and how it supports revenue, cost, and risk goals. From there, the Chief Data Officer structures data governance: who owns each piece of data, what the rules are, how quality is measured, and what happens when someone enters it wrong.

An example that shows up a lot in companies helps explain it. A manufacturer discovers that the same supplier is registered three times, with the CNPJ (Brazil's company registration number) written in different ways. Purchasing negotiates with one, finance pays another, and the spend-by-supplier report simply doesn't add up. That is not a system problem. It's a governance problem, master data with no owner and no rule. The CDO is the one who sees this kind of loss spread across the operation, puts a number on it, and organizes the fix in a structured way, with process, technology, and defined accountability.

The point is that the Chief Data Officer works at both ends at the same time. On the strategy side, they talk to the executive team in business language, translating bad data into lost money and blocked opportunity. On the operations side, they make sure the master data for materials, suppliers, customers, and products follows a standard, has quality, and can be trusted by whoever uses it. That bridge between the boardroom and the operational floor is what defines a good CDO.

Who reports to the CDO and where they fit

The Chief Data Officer usually leads a structure that involves roles such as data owner, data steward, data architects, data engineers, quality analysts, and, increasingly, analytics and artificial intelligence teams. In smaller companies, these roles are concentrated in a few people. In large companies, they become entire departments. What doesn't change is the logic: the data owner is the owner of the data in the business, the data steward is who takes care of quality day to day, and the CDO is who gives direction, priority, and sponsorship to all of it.

Where the CDO sits on the org chart says a lot about the company's maturity. When they hang under IT, treated as support, governance almost always loses political strength and turns into bureaucracy. When the Chief Data Officer reports to the CEO or has a seat on the board, the conversation changes. Data becomes a matter of strategy, budget, and risk, and not just one more ticket opened for the technical team to resolve.

CDO, CDAO, and CAIO: the acronyms that get mixed up

It's worth separating the acronyms, because the market mixes everything up and that confuses people starting out in the career. The classic Chief Data Officer answers for data as an asset: governance, quality, architecture, and compliance. The CDAO, Chief Data and Analytics Officer, also carries responsibility for analytics, that is, for turning data into analysis and decisions. And more recently the CAIO, Chief AI Officer, appeared, focused on artificial intelligence strategy.

In practice, many companies still combine these functions in a single person, and it makes sense. That's because artificial intelligence depends directly on data quality. An AI model trained on duplicate materials, poorly classified suppliers, and customers defined differently across areas doesn't work magic, it just speeds up the wrong decision at scale. That's why the CDO gained even more weight with the AI wave. Before the company dreams of real artificial intelligence, someone needs to guarantee that the data feeding the models is reliable. That someone is the Chief Data Officer.

Which tools the CDO needs to know

The CDO doesn't need to program every tool, but needs to understand the ecosystem to make investment decisions without falling for the vendor's pitch. In the Master Data Management and master data governance territory, the major market platforms include SAP Master Data Governance, Informatica, Stibo Systems, Reltio, Semarchy, Profisee, and Ataccama. These are the software products that sustain the single, reliable master data for materials, suppliers, and customers.

When the subject is data catalogs and metadata, names like Collibra, Alation, and Microsoft Purview come up, which help the company know where each piece of data is, what it means, and who can use it. For data quality, tools like Ataccama and Informatica Data Quality support continuous measurement and cleansing of the database. And in the platform layer, environments like Databricks, Azure, and AWS come in to give scale to data processing and consumption. The Chief Data Officer's role is not to pick the trendy tool, but to make sure the technology comes with process, a data owner, and operational discipline. Without that, any software becomes one more expensive license and a problem that comes back.

How to become a Chief Data Officer

Nobody wakes up a CDO. The path usually goes through years of living the data problem from the inside. Many get there coming from areas like master data, data quality, analytics, architecture, or consulting, people who understood that bad data is not a technical detail, it's business risk. The foundation is mastering data governance, master data, quality, and the connection between all of that and the company's results.

On the formal knowledge side, the market reference is DAMA's body of knowledge, the DAMA-DMBOK, which organizes the disciplines of data management end to end. The CDMP certification, also from DAMA, is a recognized way to validate that knowledge. But beware the trap of becoming a theory-only professional. The Chief Data Officer who works is the one who can translate governance for the boardroom and, at the same time, understands where the dirty data comes from out in operations.

The other half of the equation is communication and influence. It's no use knowing everything about data quality if you can't convince a director to sponsor the fix. Anyone who has taken part in a project knows the hardest part is rarely technical. It's politics, it's prioritization, it's getting the company to stop treating data as somebody else's problem. Developing that business vision, that ability to tell the data's story in the language of results, is what separates the senior analyst from the future CDO.

The opportunities: career and market

Demand for professionals who understand data as an asset has grown along with pressure for fast decisions, compliance with LGPD (Brazil's General Data Protection Law), and adoption of artificial intelligence. The Chief Data Officer became one of the most valued positions in senior management precisely because few people can move well between the technical and the strategic. In Brazil, market data points to executive pay in this range of around twenty to forty thousand reais per month in base salary for the top of the career, not counting the variable portion, which is usually significant in leadership roles. The numbers vary quite a bit by company size, sector, and region, but the message is clear: it's a career on the rise with a high ceiling.

The most interesting part is that the path to get there is full of steps with good demand. Data steward, data quality analyst, MDM specialist, data architect, and governance manager are sought-after roles that are still rarely filled by people who are truly prepared. In other words, even those not aiming for the CDO chair right now find a hot market along the way. The data field stopped being a promise and became a necessity, and that opens room for those who position themselves early.

Main questions about the Chief Data Officer

What does a Chief Data Officer do? The CDO defines the company's data strategy, structures data governance, ensures quality and responsible use of information, and connects all of it to revenue, cost, and risk. They are the executive who treats data as a business asset.

What's the difference between a CDO and a CIO? The CIO is responsible for technology and systems infrastructure. The Chief Data Officer is responsible for the data that runs inside those systems, that is, for quality, governance, and the value the information generates for the business.

Do you need to know how to code to be a CDO? Coding isn't mandatory, but it's essential to understand data governance, master data, quality, and the tool ecosystem. The decisive skill is translating a data problem into business impact and influencing the executive team.

Which certification helps you become a CDO? The market reference is the DAMA-DMBOK, with DAMA's CDMP certification. It validates knowledge in data management, although practical experience in real projects is still what weighs the most.

Does every company need a CDO? Not every company needs the position with that name, but every company needs the function. Someone has to own trust in the data. In smaller organizations this role can be combined with others, but it can't simply not exist.

MDM Academy: where this career is built

Training a professional capable of reaching a position like Chief Data Officer doesn't happen by chance. MDM Academy is 4MDG's school of data governance and master data, created precisely to prepare people who want to work in this field for real. The idea isn't to memorize concepts, but to learn governance, MDM, data quality, and record maintenance the way the market uses them, with real examples from purchasing, supply chain, SAP, and enterprise projects.

The big benefit is shortening the path. Instead of learning through mistakes, over years and over projects that went wrong, the professional understands early on how to structure master data, how to measure quality, how to define the data owner, and how to translate all of this into the language of the executive team. If you want to build a solid career in data, it's worth getting to know MDM Academy and joining the Data Club, where the community trades practice, questions, and experience from people who live this subject every day.

Conclusion

The rise of the Chief Data Officer tells a bigger story than that of a new job title. It shows that companies finally understood that data is not just a matter for the technical team, it's a business decision, it's margin, it's risk, and it's competitive advantage. For a long time, bad data was treated as an invisible cost, that problem everyone feels and nobody owns. The CDO is the organizational answer to that, the person who puts a name, a number, and an owner on what used to float free.

And that is where the opportunity lies for whoever is reading. The data career has never been so open, and its top has never been so valued. It doesn't matter whether your goal is to become a Chief Data Officer one day or simply to become indispensable in your area, the path goes through understanding governance, master data, and the real impact of data on the business. Whoever starts looking at data as a strategic asset now will be far ahead when the company realizes it needs this. And at your company, who is today the real owner of trust in the data?