What is behind the role of Chief Data Officer (CDO)

As data technology continues to reshape business landscape in 2026, a new role tends to appear: Chief Data Officer.

Fully integrated in the Board Committee in most big organisations, the Chief Data Officer (CDO) occupies a key role in modern organisations. As a leader, he is responsible over the management of group's data strategy.

In this module, you will learn what are the different CDO's responsibilities and priorities and how his position could evolve in the AI era in 2026?

What a CDO does?

Firstly, a Chief Data Officer (CDO) is a senior executive responsible for data governance, management, and usage across the entire organisation. Their mission is to ensure that data is effectively collected, managed, and leveraged as a strategic asset by all teams.

His role differs from the CIO and CTO, where both positions are respectively responsible for information systems management and technological infrastructure. While the CIO focuses on internal IT operations and the CTO on technological innovation and development, the Chief Data Officer is dedicated to maximising the value of data as a strategic asset across the organisation.

CDO's Core Tasks

All of the Chief Data Officer’s responsibilities can be summarised in a single objective: to identify, manage and leverage data opportunities in order to create business value and support strategic decision-making.

In practice, this involves initiatives such as developing data strategies, overseeing data architecture, ensuring regulatory compliance, and enabling advanced analytics and artificial intelligence projects. By doing so, he acts as the privileged interface for business teams and helps them improve operational efficiency or enhance customer experience.

Naturally, he faces numerous challenges, such as data silos or aligning the data's strategy course according to business needs. This means choosing between innovation, by developing, for example, new data usages, or data compliancy to minimise risks.

In addition, they are responsible for fostering a data-driven culture and training employees to adopt best data practices, ensuring an optimised data governance framework, and aligned with business goals.

The Emerging Role of Chief AI Officer

Following the AI's growing interest from major companies, a new role emerges in organisations' structure: Chief AI Officer.

Building on existing tasks of CDO, the Chief AI Officer (CAIO) focuses on overseeing AI initiatives as well as implementing an AI culture within the enterprise. Furthermore, he makes sure that AI is used internally in an ethical way to create business value, while being also used effectively.

This role has been created in response to the rapid growth of artificial intelligence and its strategic importance for businesses. As AI technologies become more complex and widely adopted, organisations need dedicated leadership to coordinate initiatives, ensure alignment with business objectives, and maximise value creation.

In some organisations, existing Chief Data Officers take on both responsibilities under the title of Chief Data & AI Officer. This can be seen as a strategic move to ensure that data is effectively leveraged for AI initiatives, particularly by maintaining high data quality, which is essential for the development and performance of AI systems.

Beyond the CDO: What Comes Next

The Chief Data Officer is, at its core, a translator — someone who speaks both the language of data and the language of business. In a world where organisations collect more data than ever but still struggle to act on it, the CDO is the figure who closes that gap.

As data becomes inseparable from strategy — and as AI reshapes the way organisations operate. Whether through a CDO, a CAIO, or a combined role, one thing remains clear: the organisations that invest in strong data and AI leadership today will be the ones best positioned for tomorrow.

An annual Deloitte report from the UK branch demonstrates the current trend through increased budgets compared to previous years, with data governance emerging as a top priority for companies, along with AI/Gen AI initiatives.