From Data Scientist to C-Suite: Making of Chief Data and Analytics Officer

Author(s): Shreepada Rao

Originally published on Towards AI.

A structured approach to becoming a CDAO

This member-only story is on us. Upgrade to access all of Medium.

Gartner says By 2025, Chief Data and Analytics Officers (CDAOs) will widely adopt data fabric to address data management complexities.

Disclaimer: I am not covering the requirements for the general management and leadership role. Those do apply on default and highlight the explicit requirements.

Today the data is that new oil and AI inventions are more significant than the invention of ‘Wheel’ for humankind. The role of the Chief Data and Analytics Officer (CDAO) has become a critical leadership position across industries. As organizations increasingly rely on data to drive decision-making, innovation, and growth, the CDAO plays a key role in bridging the gap between business strategy and data analytics. According to Gartner, by 2025, CDAOs will widely adopt data fabric to address growing complexities in data management and governance, emphasizing the need for advanced technical and leadership skills to navigate this evolving landscape.

If you’re an aspiring CDAO, this guide will help you understand the responsibilities of the role, steps to success, and how to bridge key skill gaps to thrive in this fast-paced, high-impact leadership position.

A CDAO’s primary focus is aligning an organization’s data strategy… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI