UK data leaders face rising AI & governance pressure

Seriös Group has published a report on the pressure facing UK data leaders, finding that rising demands are leaving many senior executives overstretched.

The report, titled Chief Information Overload, draws on survey responses from more than 100 data leaders, along with roundtable discussions and expert interviews. It argues that the main challenge is no longer persuading organisations that data matters, but dealing with a widening gap between the responsibility assigned to data leaders and the control they have over the systems and practices needed to deliver results.

Seriös calls this gap the Data Responsibility Rift. It describes a situation in which accountability is concentrated on senior data leaders, while ownership of data creation, management and use is spread across multiple teams.

The findings point to a broad increase in workload. According to the research, 87% of data leaders said their responsibilities had grown since they first took on a senior data role.

Cybersecurity and data protection were the most commonly cited source of pressure, identified by half of respondents. Data governance and quality followed at 40%, while 35% pointed to AI enablement and readiness.

The research also suggests that strain is affecting how sustainable the work has become. Around half of respondents said they could meet expectations comfortably, but about 40% said they felt uncomfortable, overstretched or close to burnout.

AI pressure

AI featured heavily in the report's assessment of changing expectations. As more teams test data-driven uses for AI tools, senior data leaders are being asked not only to support those efforts but also to ensure the underlying data is reliable, governed and secure.

That is expanding the role. Data leaders are now expected to improve data quality, strengthen governance, manage risk, support decision-making and prepare organisations for wider AI use, even when formal ownership remains fragmented.

Lee Rorison, Founder and Chief Executive Officer of Seriös Group, said: "We are no longer trying to convince organisations that data matters; that job is done. For data to operate as a true business asset, organisations need the structure, governance and clarity to support it."

The report argues that the pressure does not come from a single operational issue. Instead, respondents pointed to a mix of executive expectations, technical complexity and organisational structure.

When asked what would most ease that pressure, data leaders cited senior sponsorship and executive alignment, stronger data quality and governance foundations, simpler tools and platforms, and clearer ownership. The findings show that 23% said senior sponsorship and executive alignment would do most to reduce strain.

Structural issues

Adam Brown, Head of Data Strategy and Architecture at Seriös Group, said: "We can see a clear gap between how important data has become and how organisations are structured to support it. Data leaders are being asked to influence decisions, manage risk and enable AI, often without clear ownership or alignment across the business. Closing that gap is not a technology challenge alone. It requires ownership, governance, environment and capability to work together as a coordinated system."

To address the issue, the report sets out four areas organisations should tackle: ownership, governance, environment and capability. Ownership refers to clear accountability across business functions, while governance is framed as the guardrails needed for consistent data use. Environment covers accessible, structured data systems, and capability refers to a blend of technical skill, business understanding and communication.

The findings reflect a broader shift in how data leadership is viewed inside organisations. Senior data executives were once tasked mainly with building awareness and improving access to information. They are now often expected to bridge regulatory compliance, business strategy, operational delivery and AI adoption.

That shift has come as businesses in sectors including financial services, retail, healthcare and technology have become more dependent on data-driven processes. With that dependence has come greater scrutiny of how data is governed, who owns it and whether it can be trusted in business systems or AI models.

The report suggests that poor alignment inside organisations can undermine those efforts. If responsibility sits with a Chief Data Officer or another senior leader but decision-making and execution remain distributed, the result can be duplicated work, inconsistent standards and mounting pressure on a small group of senior specialists.

For that reason, the study argues that the challenge is as much organisational as it is technical. Businesses need clearer lines of ownership and stronger internal support if they want data leaders to meet a growing list of demands without increasing the risk of burnout.

Rorison described that strain in direct terms: "This is the reality of Chief Information Overload. There isn't a shortage of information, there is too much of it, combined with an expectation that it should always deliver. But for data leaders, the opportunity is in bridging that gap. Not by adding more, but by creating the conditions where data can be trusted, understood and used consistently across the organisation. More data isn't the answer, clarity is."