CDAOs might be key to genAI success now — but that could change
Before organizations can effectively deploy generative AI tools, the data on which they must be trained has to be preprocessed to ensure it’s organized, standardized, and cleaned from outliers, duplication, and errors.
Without that, attaining ROI from any genAI project is next to impossible. In fact, over the past couple of years, case studies have shown one-in-three AI projects fail to reach completion or produce an ROI because of unclean data.
A Gartner survey this week indicated that one top-level position in particular is key to genAI deployment success: the Chief Data & Analytics Officer— so much so, that the position has now been given executive status at most companies.“The integration of AI into business strategies has further solidified the CDAO’s role as a top-tier position within companies,” said Sarah James, a Gartner senior director analyst.
Beyond data and analytics, CDAOs are now central to genAI readiness — critical for driving better business outcomes, as shown in Gartner’s 2025 CDAO Agenda Survey for 2025.“This year is a critical one for CDAOs, as AI presents a new opportunity for them to establish their rank in AI leadership,” James said.
The exact mission and function of the CDAO role, however, remain unclear.
In Gartner’s CDAO Agenda Survey for 2024, 74% of respondents reported that executive leadership has confidence in their data and analyticsfunction, but the rationale for that confidence is not fully substantiated. Only 49% had established business-outcome-driven metrics that allow stakeholders to track D&A value.
“Respondents reported having an average of 14 primary responsibilities — a year-over-year increase of 56% from 2023 — suggesting a tactical rather than strategic focus,” James said. “There is clearly work to do for CDAOs to establish themselves, their function and their value to the organization.”
Meanwhile, Gartner predicts that by 2027, 75% of CDAOs who aren’t seen as essential to their organization’s genAI success will lose their C-level position.
CDAOs are currently uniquely positioned to lead genAI efforts thanks to their data expertise and cross-organizational reach, according to James. “Their role is pivotal — no one else is better placed to connect the dots and drive AI success,” she said.
According to the survey, 70% percent of CDAO’s have the primary responsibility for building AI strategy and an operating model for the organization. In light of that, 36% of CDAOs now report to the CEO, up from 21% in 2024.
Tom Davenport, a distinguished professor of IT and management for Babson College, said he was surprised Gartner’s survey found 70% of CDAOs reportedlyhave primary responsibility for genAI efforts. His research shows it’s usually shared with CIOs, CTOs, and CDOs.
If trues, he said, it would mark a major shift in the CDO/CDAO role, even as AI is a “hot topic” many execs want to lead. “That said, responsibility for AI will have its challenges for CDOs, who already face a number of them,” Davenport said via email. “An IBM survey of CEOs released last week found that only 25% have seen the expected ROI from their AI projects. It won’t be easy for CDOs to address that issue.”
At the same time the CDAO or CDO role is gaining importance, only 8% of companies considered to be leaders in genAI deployments are scaling the tech at an enterprise level, which means embedding the technology into core business strategy, according to a report by professional services firm Accenture.
Scaling AI starts with data, according to Accenture, and while 70% of the 2,000 companies it surveyed recognize its importance, few fully leverage their proprietary data. And only 15% are “AI reinvention-ready” and have built the essential capabilities needed to scale AI successfully, according to the firm.
The role of CDAO role is expected to soon evolve in three distinct directions, according to Gartner:
Expert D&A Leader: A senior data leaderwith a cross-functional view, overseeing business intelligence, Mobile Device Management, reporting, and data platforms. The person typically reports to IT and supports data strategy across the business.
Connector CDAO: Someone who bridges CxOs with D&A, embedding smart solutions into products and services. They drive the AI agenda and act as key leaders in an organization.
Pioneer CDAx: A transformational exec who combines the CDO, CDAO, and CDAIO roles, leads cross-functional D&A and AI efforts, ensures ethical governance, and champions innovation.
Some believe CDO and CAIO roles might have a built-in expiration date. An earlier Gartner survey of 400 software engineering leaders indicated that up to half of their software development teams employ various genAI tools to augment workflows, acting as force multipliers rather than replacements.
Davenport agreed, and has written about the phenomenon in the past.
After years of being focused primarily on data — not employee — management, surveys show CDOs often lack the skills to tackle the cultural challenges critical to a data-driven culture, and their roles remain less understood than other C-level positions, Davenport said. “Surveys of CDOs also suggest that their jobs are less well understood than other C-level executives,” he added.
In one recent article, Davenport argued there are too many technology-focused C-level executives in many companies, including CIOs, CTOs, Chief Data and/or Analytics Officers, Chief Digital Officers, and CISOs. “The CIO role is much better understood and while it, too, once was characterized by short tenures, it’s much more familiar than the CDO role,” he said. “Many CDOs focus primarily on data governance and management activities for which it is difficult to demonstrate value. Those who also have analytics and AI responsibilities have a somewhat easier time of that.”
Given the critical role now of genAI in shaping business strategies, aspiring CDAOs should focus on developing expertise in data, analytics and AI technologies, James said.
The demand for CDAOs who can effectively lead genAI initiatives, navigate the technology’s complexities, and leverage it for competitive advantage is increasing, she added. “Individuals interested in this career path should aim to acquire skills in AI readiness, data governance, and strategic leadership, as these are essential for driving successful AI integration within organizations,” she said.
#cdaos #might #key #genai #success
CDAOs might be key to genAI success now — but that could change
Before organizations can effectively deploy generative AI tools, the data on which they must be trained has to be preprocessed to ensure it’s organized, standardized, and cleaned from outliers, duplication, and errors.
Without that, attaining ROI from any genAI project is next to impossible. In fact, over the past couple of years, case studies have shown one-in-three AI projects fail to reach completion or produce an ROI because of unclean data.
A Gartner survey this week indicated that one top-level position in particular is key to genAI deployment success: the Chief Data & Analytics Officer— so much so, that the position has now been given executive status at most companies.“The integration of AI into business strategies has further solidified the CDAO’s role as a top-tier position within companies,” said Sarah James, a Gartner senior director analyst.
Beyond data and analytics, CDAOs are now central to genAI readiness — critical for driving better business outcomes, as shown in Gartner’s 2025 CDAO Agenda Survey for 2025.“This year is a critical one for CDAOs, as AI presents a new opportunity for them to establish their rank in AI leadership,” James said.
The exact mission and function of the CDAO role, however, remain unclear.
In Gartner’s CDAO Agenda Survey for 2024, 74% of respondents reported that executive leadership has confidence in their data and analyticsfunction, but the rationale for that confidence is not fully substantiated. Only 49% had established business-outcome-driven metrics that allow stakeholders to track D&A value.
“Respondents reported having an average of 14 primary responsibilities — a year-over-year increase of 56% from 2023 — suggesting a tactical rather than strategic focus,” James said. “There is clearly work to do for CDAOs to establish themselves, their function and their value to the organization.”
Meanwhile, Gartner predicts that by 2027, 75% of CDAOs who aren’t seen as essential to their organization’s genAI success will lose their C-level position.
CDAOs are currently uniquely positioned to lead genAI efforts thanks to their data expertise and cross-organizational reach, according to James. “Their role is pivotal — no one else is better placed to connect the dots and drive AI success,” she said.
According to the survey, 70% percent of CDAO’s have the primary responsibility for building AI strategy and an operating model for the organization. In light of that, 36% of CDAOs now report to the CEO, up from 21% in 2024.
Tom Davenport, a distinguished professor of IT and management for Babson College, said he was surprised Gartner’s survey found 70% of CDAOs reportedlyhave primary responsibility for genAI efforts. His research shows it’s usually shared with CIOs, CTOs, and CDOs.
If trues, he said, it would mark a major shift in the CDO/CDAO role, even as AI is a “hot topic” many execs want to lead. “That said, responsibility for AI will have its challenges for CDOs, who already face a number of them,” Davenport said via email. “An IBM survey of CEOs released last week found that only 25% have seen the expected ROI from their AI projects. It won’t be easy for CDOs to address that issue.”
At the same time the CDAO or CDO role is gaining importance, only 8% of companies considered to be leaders in genAI deployments are scaling the tech at an enterprise level, which means embedding the technology into core business strategy, according to a report by professional services firm Accenture.
Scaling AI starts with data, according to Accenture, and while 70% of the 2,000 companies it surveyed recognize its importance, few fully leverage their proprietary data. And only 15% are “AI reinvention-ready” and have built the essential capabilities needed to scale AI successfully, according to the firm.
The role of CDAO role is expected to soon evolve in three distinct directions, according to Gartner:
Expert D&A Leader: A senior data leaderwith a cross-functional view, overseeing business intelligence, Mobile Device Management, reporting, and data platforms. The person typically reports to IT and supports data strategy across the business.
Connector CDAO: Someone who bridges CxOs with D&A, embedding smart solutions into products and services. They drive the AI agenda and act as key leaders in an organization.
Pioneer CDAx: A transformational exec who combines the CDO, CDAO, and CDAIO roles, leads cross-functional D&A and AI efforts, ensures ethical governance, and champions innovation.
Some believe CDO and CAIO roles might have a built-in expiration date. An earlier Gartner survey of 400 software engineering leaders indicated that up to half of their software development teams employ various genAI tools to augment workflows, acting as force multipliers rather than replacements.
Davenport agreed, and has written about the phenomenon in the past.
After years of being focused primarily on data — not employee — management, surveys show CDOs often lack the skills to tackle the cultural challenges critical to a data-driven culture, and their roles remain less understood than other C-level positions, Davenport said. “Surveys of CDOs also suggest that their jobs are less well understood than other C-level executives,” he added.
In one recent article, Davenport argued there are too many technology-focused C-level executives in many companies, including CIOs, CTOs, Chief Data and/or Analytics Officers, Chief Digital Officers, and CISOs. “The CIO role is much better understood and while it, too, once was characterized by short tenures, it’s much more familiar than the CDO role,” he said. “Many CDOs focus primarily on data governance and management activities for which it is difficult to demonstrate value. Those who also have analytics and AI responsibilities have a somewhat easier time of that.”
Given the critical role now of genAI in shaping business strategies, aspiring CDAOs should focus on developing expertise in data, analytics and AI technologies, James said.
The demand for CDAOs who can effectively lead genAI initiatives, navigate the technology’s complexities, and leverage it for competitive advantage is increasing, she added. “Individuals interested in this career path should aim to acquire skills in AI readiness, data governance, and strategic leadership, as these are essential for driving successful AI integration within organizations,” she said.
#cdaos #might #key #genai #success
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