A decade ago, relatively few organizations had a Chief Data Officer (CDO). Today, the role sits at the center of enterprise data, AI, and business transformation.

What began as a role focused largely on governance, compliance, and data quality has evolved into one that sits at the intersection of business strategy, technology, organizational transformation, and AI.

Organizations today expect CDOs to establish trusted data foundations, shape AI strategies, influence executive decision-making, and deliver measurable business outcomes.

This evolution has made the role both more influential and more difficult to define. Unlike many executive positions, there is no standard job description, no universal reporting structure, and no single career path.

Some CDOs begin their careers in technology, others in governance, analytics, operations, finance, or AI.

That’s because organizations don’t hire CDOs for the same reason. One company may need someone to modernize governance, while another is looking for a leader to scale AI or drive commercial growth through data.

As demand for experienced data leaders continues to grow, so does interest in understanding what it takes to reach the role. Questions surrounding responsibilities, qualifications, career progression, interview preparation, executive relationships, and long-term opportunities have become increasingly common among aspiring data executives.

Drawing on insights from six globally recognized data leaders, this guide explores six pillars that define the journey to becoming a modern CDO.

Understanding the role

Before examining career progression, it is important to understand what organizations now expect from a CDO, and what the job specification actually looks like.

While governance, stewardship, and data quality remain fundamental responsibilities, they now represent only part of a much broader executive mandate. Today’s CDO is expected to:

• Develop data and AI strategies
• Establish governance frameworks
• Build trusted data foundations
• Improve organizational data literacy
• Build and lead high-performing data teams
• Enable AI readiness
• Ensure that investments in data generate measurable business value

The role has also become collaborative. Successful CDOs rarely operate within a single department. Instead, they work across technology, security, privacy, legal, finance, operations, marketing, and business leadership, helping align multiple stakeholders around shared objectives.

Perhaps the defining characteristic of the modern CDO is influence, especially when driving organizational change. As AI reshapes enterprise operating models, the CDO has become less a functional specialist and more an orchestrator.

Milen Mahadevan, Chief Data and AI Officer at Kroger Co. and President of 84.51°, explores this evolution in his article on the modern CDO job description.

Mahadevan explains why today’s CDO is no longer simply responsible for managing data but for activating business value, and the variety of experiences, needs and desirable skills that any aspiring CDO should possess.

There isn’t a single Chief Data Officer career path

Unlike many executive roles, the CDO position attracts leaders from remarkably diverse professional backgrounds.

Some executives build their careers in governance and compliance, developing expertise in trust, accountability, and regulatory oversight.

Others emerge from analytics, business intelligence, or data science, where the focus centers on insight generation and business performance.

Technology leaders often transition from architecture or engineering, but many organizations are now appointing leaders with backgrounds in AI, innovation, operations, marketing, healthcare, finance, and customer experience.

While each pathway develops valuable capabilities, none of these disciplines alone fully prepares someone for the role.

Caroline Carruthers, a first generation CDO and Co-founder and Chief Executive of Carruthers and Jackson, has seen this firsthand through her work with aspiring and practicing CDOs. She examines this diversity of career pathways and zeroes in on the “5 types of Chief Data Officers” and how they got there.

Carruthers introduces five common archetypes that explain how many executives arrive in the role while highlighting a specific skill that ultimately matters more than any particular starting point.

The qualifications of a successful CDO

What qualifications does it actually take to become a CDO? Unlike many executive positions, there is no universally accepted answer.

Some organizations prioritize deep technical expertise, while others place greater emphasis on business leadership, governance experience, or transformation. As the role continues to evolve, so do the expectations placed on candidates.

Modern CDOs require technical fluency across governance, architecture, analytics, metadata, cloud platforms, AI, and security.

Equally important, however, are commercial judgment, executive communication, organizational influence, resilience, stakeholder management, and the ability to connect data initiatives directly to business outcomes.

Cross-functional experience has become another defining characteristic. Executives who have worked across technology, operations, compliance, finance, customer-facing functions, and business transformation often develop the perspective required in senior leadership positions.

Academic qualifications and certifications do provide enormous value, particularly earlier in a data-management career. By the time organizations begin evaluating candidates for a C-level data role, however, demonstrated business impact, transformation experience, and leadership credibility typically outweigh formal credentials.

How organizations hire Chief Data Officers today

When looking to become a CDO, one of the biggest worries can be working out what  CDO interview questions might appear.

That’s because the role has become increasingly complex, because organizations are no longer looking for a single type of CDO.

The questions candidates encounter will actually reflect the organization’s strategic priorities. A CDO reporting to a Chief Information Officer (CIO) may be expected to modernize platforms, strengthen governance, and improve data quality.

One embedded within the business may instead be expected to accelerate revenue growth, customer experience, analytics, or AI adoption.

As a result, interview discussions extend well beyond technology. Leadership philosophy, executive presence, strategic thinking, and organizational influence have become just as important as technical knowledge.

Equally revealing are the questions a candidate asks throughout the hiring process. Understanding how organizations and boards define success often provides greater insight than the formal job description itself.

In her guide to Chief Data Officer interview questions, seasoned data leader and advisor Dr. Elena Alikhachkina explains why organizations are no longer interviewing for “a CDO.” They’re interviewing for the leader who can solve their most pressing business challenge.

The Difference Between a CDO and CIO

As AI brings data and technology functions closer together, the CDO and CIO are collaborating more than ever. That growing partnership has also blurred the distinction between the two roles. In reality, while they work toward many of the same business objectives, they are accountable for different priorities and measured by different outcomes.

The CDO focuses on turning data into business value through strategy, governance, analytics, and AI. The CIO, meanwhile, is responsible for the technology ecosystem that enables the business to operate, from infrastructure and enterprise applications to cybersecurity, engineering, and operational resilience.

As AI becomes embedded across the enterprise, neither role can succeed in isolation. Trusted data is only valuable when supported by secure, scalable technology platforms, while technology investments deliver greater impact when paired with strong data strategy and business adoption.

Having served as both a CDO and a CIO, Ameet Shetty, CIO at RaceTrac, offers a rare perspective on how the two roles compare. In “What Is the Difference Between a CDO and CIO?” he explains where the responsibilities diverge, where they increasingly overlap, and why AI is bringing data and technology leaders closer together than ever before.

The first 90 days of any CDO

One of the biggest mistakes new CDOs make is rushing to launch major initiatives. Instead, they should spend the first few months understanding the business, listening to stakeholders, mapping organizational influence, clarifying expectations, and identifying opportunities for early value creation.

While every organization is different, the first 90 Days as a CDO should progress through three broad phases: understanding the organization, aligning stakeholders around its most pressing needs, and translating those insights into a clear plan of action.

First 30 days: Understand the landscape

The first month should focus on listening and learning. The CDO needs to build a stakeholder map, meet key business leaders, and understand how the organization currently perceives the data function. This phase should also provide clarity on existing budgets, strategic priorities, and AI ambitions, creating a grounded view of the environment before major decisions are made.

Days 30 to 60: Diagnose and align

With that context established, the CDO can begin articulating the organization’s most significant data challenges and identifying gaps in capabilities, governance, technology, and talent. This is also the time to communicate an initial direction, test assumptions with stakeholders, and share preliminary findings to build alignment around what needs to change.

Days 60 to 90: Set the strategy and demonstrate progress

By the end of the first 90 days, the CDO’s roadmap should be taking shape, and stakeholders should understand both the vision and the reasoning behind it. The organization should also see tangible evidence of progress through early wins, a clearer operating model, and a shared understanding of the priorities that will guide the data function forward.

These activities establish credibility while creating the foundation for future transformation.

How to prepare for the boardroom

For years, most CDOs focused their attention on the executive team. Increasingly, however, another audience is paying attention: the board.

As AI becomes a boardroom priority, directors are asking more questions about data governance, AI oversight, cybersecurity, digital transformation, and organizational readiness. Those conversations are creating new opportunities for CDOs to influence decision-making at the highest levels of the organization.

Board service, however, requires more than deep expertise in data and AI. Directors are expected to think differently from executives, focusing on governance, long-term strategy, enterprise risk, and accountability rather than day-to-day operations.

For many CDOs, earning board-level influence means broadening their perspective beyond data leadership while learning how boards operate and make decisions.

The shift is creating a new opportunity for senior data leaders. As organizations seek directors with stronger digital expertise, CDOs who can connect technology, AI, and data strategy to business outcomes are becoming increasingly valuable in the boardroom.

Drawing on her experience advising boards and executive teams on digital leadership and AI governance, Dr. Alikhachkina explores this emerging trend in “How Chief Data Officers Can Earn Board-Level Influence.”

She explains why boards are paying closer attention to data leaders, what skills aspiring board directors need to develop, and how CDOs can position themselves for governance roles in the years ahead.

A CDO’s pathway to CEO

Board influence is one way the CDO role is expanding. Another is into operational leadership. The position is becoming a stepping stone to broader business leadership.

The role exposes CDOs to many of the same challenges CEOs face:

• Leading transformation
• Influencing stakeholders
• Balancing priorities
• Communicating with boards
• Shaping short and long-term strategy
• Connecting investments with business outcomes

Mai B. AlOwaish, Chief Executive Officer of CINET and a former CDO, argues that the main difference lies in expanding perspective. While CDOs focus primarily on transformation, CEOs must simultaneously balance customers, regulators, shareholders, financial performance, market positioning, organizational culture, and long-term competitiveness.

As organizations compete on intelligence, AI, and digital capability, leaders capable of connecting technology with business strategy will become even more valuable throughout the executive suite.

AlOwaish illustrates this as she discusses the best CDO to CEO progression, examining how expanding business acumen, executive presence, and enterprise thinking enabled her transition from leading data to leading an entire organization.

Bringing the journey together

There has never been a single blueprint for becoming a CDO, and there is unlikely to be one in the future – especially as the role has evolved so much.

Some leaders arrive through governance. Others through analytics, technology, business operations, finance, customer experience, or AI. Their backgrounds differ, but the qualities that define successful CDOs converge.

Modern CDOs bring together a rare combination of technical credibility, business acumen, and leadership. They build trust in data, enable AI responsibly, influence across the organization, and help turn technology investments into measurable business outcomes.

For many executives, becoming a CDO is the culmination of years spent building those capabilities. However, it is also becoming the starting point for broader leadership opportunities across the executive suite, from the boardroom to the CEO’s office.