# What is a chief data officer and does your business need one?
Chief data officer: what the role really involves, whether your business needs one and how to make the case internally at £500m–£1.5bn revenue.
Published: 2025-07-28
Author: Rodan Analytics
 Most mid-market firms have a data problem they have misdiagnosed. They think the problem is tooling — the wrong BI platform, an underpowered analytics team, reports that arrive too late to influence decisions. So they buy new software, hire a data analyst or two and wait for things to improve.

 They rarely do. Because the actual problem is ownership. Nobody with sufficient authority, commercial understanding and technical credibility is accountable for how data flows through the business, what it means and what gets done with it. That gap compounds quietly until it becomes expensive — in bad acquisitions, in missed signals, in operational decisions made on stale or contradictory numbers.

 The chief data officer role exists to close that gap. But it is widely misunderstood, frequently mis-hired and, in some organisations, genuinely unnecessary. This article will give you a clear-eyed view of what a CDO actually does, how to know whether you need one and what your realistic options are at your stage of growth.

## What a chief data officer actually does

 The CDO title gets applied to roles with almost nothing in common. In some businesses it is a glorified analytics manager. In others it is a governance bureaucrat whose main output is policy documentation nobody reads. Neither is what the role should be.

 A functioning CDO sits at the intersection of commercial strategy and data infrastructure. Their job is to make the organisation's data a reliable, accessible asset that drives better decisions — and to be personally accountable when it does not.

 In practice, that means four things. First, establishing a single coherent picture of the business: one set of definitions, one source of truth for key metrics, one place where the CFO and the COO are looking at the same numbers. Second, owning the data architecture — not at a code level necessarily, but at the level of what gets collected, how it gets stored, how it connects across systems. Third, building the capability inside the business to use data well, which is as much about culture and process as it is about hiring. Fourth, translating data into commercial decisions: pricing strategy, customer segmentation, operational efficiency, M&A due diligence.

 That last point is where most organisations underinvest. A CDO who only manages infrastructure is an expensive IT director. The value comes from the commercial translation — from knowing that the logistics data you have been collecting for three years can cut your working capital requirement by eight percent if you model it correctly.

## The case for hiring one

 Consider a distribution business at £700m revenue preparing for a secondary buyout. The incoming PE firm wants a data room that reflects the true unit economics of the business. The finance team can produce revenue by customer. The operations team can produce cost by depot. Nobody can produce margin by customer by depot by SKU at pace. The deal takes three months longer than it should and the valuation conversation is harder than it needs to be because the business cannot tell its own story with numbers.

 That is a CDO problem. Not a software problem. Not a headcount problem. An ownership problem.

 At this revenue scale — roughly £500m to £1.5bn — several conditions tend to appear simultaneously. Systems have proliferated through acquisition or organic growth. The finance team owns some data, the commercial team owns other data and the technology team owns the rest. Definitions diverge. The board receives reports that contradict each other. Analytics requests queue behind IT priorities. The business is large enough that bad data costs real money, but not large enough to have built the enterprise-grade data function that would prevent it.

 These are precisely the conditions under which a CDO creates measurable value. When the role is scoped correctly and hired well, organisations at this stage typically see three outcomes within eighteen months: cleaner financial reporting with less manual reconciliation, faster and more reliable operational insight and a material improvement in their ability to run data-driven commercial initiatives.

## The case against hiring one

 None of that means you should hire a CDO right now.

 The role requires an organisational foundation to function. A CDO without executive sponsorship — without a seat at the table and the authority to enforce data standards across functions — will spend their tenure fighting internal politics and leave with little to show for it. If your CEO and CFO do not believe data is a strategic asset, a CDO hire is a waste of money and will probably set back your data maturity by two years.

 The role also requires some minimum level of data infrastructure to improve. If your core systems are fragmented legacy platforms with no integration, the first job is an engineering problem, not a leadership one. Hiring a CDO before you have addressed the underlying architecture is like hiring a finance director before you have a general ledger.

 A useful diagnostic: can your business currently answer the following three questions with confidence, in under an hour, without involving more than one person?

- What is our gross margin by product line this month versus the same month last year?

- Which customers account for 80 percent of our revenue and what is the trend in their purchasing behaviour?

- Where are our top three operational bottlenecks and what do they cost us weekly?

 If the answer to all three is yes, your data function is reasonably healthy and a CDO hire may be premature — invest in capability instead. If the answer to two or more is no, you have an ownership problem that a CDO is designed to solve.

## Permanent hire versus fractional: choosing the right model

 Assuming you have determined the need is real, the next decision is how to fill it. A permanent CDO hire at this level will cost you £180,000 to £280,000 in base salary, plus bonus and equity. The search takes four to six months. The wrong hire — and there are many candidates in this market who are excellent technologists but poor commercial thinkers — will set you back eighteen months.

 The fractional CDO model has matured significantly. For a business that needs strategic data leadership but cannot yet justify a full-time executive, a fractional arrangement — typically two to three days per week with a senior practitioner who has done this before — provides the oversight and direction without the commitment or the search risk.

 This model works particularly well in three situations: ahead of a transaction, where you need to improve data quality and commercial reporting within a defined window; during a post-merger integration, where data consolidation is urgent but temporary in scope; and as a bridge hire, where you are building the business case and internal readiness for a permanent appointment.

 Rodan's fractional CDO and advisory services are built for exactly this context — senior practitioners who have operated at this level, embedded into your leadership team for the period you need them.

## Building the business case internally

 The most common reason a CDO hire stalls is that the sponsor — usually the CFO or CEO — cannot quantify the return. They know data is important. They cannot say what better data is worth.

 Here is a way to frame it. Identify three commercial decisions your business made in the last twelve months that were made with incomplete, delayed or contradictory data. Estimate conservatively what a better decision would have been worth — in revenue protected, cost avoided or time saved. If the honest total is above £500,000, the business case for a CDO — permanent or fractional — writes itself.

 In most businesses at this revenue scale, it is well above £500,000. It is just invisible because nobody has been asked to account for it.

## The decision is about accountability, not technology

 The CDO question is not really a technology question. It is a question about who is accountable for whether data works in your business. Right now, in most mid-market firms, the honest answer is: nobody in particular. That diffuse accountability is costly, and it compounds.

 If your business is heading into a transaction, a period of rapid growth or a major operational change, the cost of that diffuse accountability will become very visible very quickly. The time to fix it is before you need it.

 The right starting point is a diagnostic — a structured assessment of your current data maturity, the gaps that carry the most commercial risk and the realistic options for closing them. Rodan runs these engagements at a fixed cost of £1,500, with a clear output: a prioritised view of where to act and what it will cost.

 If you want to understand what a CDO would actually change in your business, that is where to start.

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