The gap nobody budgets for
Somewhere between 50 and 500 employees, most B2B companies hit the same wall. There's a warehouse. There's a BI tool. There's a growing pile of CRM and product data. There might even be an analyst or two.
What there isn't: anyone senior who owns it.
The analysts report to whoever hired them, usually a product or finance lead with a full-time job of their own. Dashboards multiply and start disagreeing with each other. Someone builds a churn model that never leaves a notebook. Leadership meetings still run on gut feel, because nobody in the room can say what the data actually supports.
A full-time Head of Data would fix this. A good one also costs €120K+ a year in salary before equity, benefits, and a recruiting search that takes months. For a company that has maybe two people doing data work, that's a hard number to sign off on.
That gap is what fractional data leadership exists for.
What the role actually covers
A fractional Head of Data (some companies say fractional CDO, the job is the same) works with you one or two days a week, on a monthly retainer, doing the parts of the job that never show up in an analyst's job description:
- Owning the strategy. Deciding what the data function is for, which problems it works on, and (just as important) which projects get a no.
- Directing the people already there. Your analyst doesn't need replacing. They need someone senior to set priorities, review their work, and turn their output into something leadership acts on.
- Making the expensive calls. Build versus buy. Which vendor. Whether that data platform migration is worth six months of engineering time. Wrong answers here cost far more than the retainer.
- Writing the hiring plan. When the time comes for full-time data hires, the job specs, interview loops, and team structure are already drafted by someone who has done it before.
- Answering to the board. Someone in the leadership meeting who can say what the numbers mean, without "let me check with the team."
The title varies with company size. A 60-person company says Head of Data. A 400-person company with a formal org chart says CDO. What matters is the shape of the engagement: senior, accountable, embedded. Just not full-time.
Fractional vs. consultant vs. full-time
The confusion around the term usually comes from lumping three different things together.
| Project consultant | Fractional Head of Data | Full-time hire | |
|---|---|---|---|
| Engagement | Defined scope, then leaves | Ongoing retainer, no end date by design | Permanent |
| Cost shape | €10K–€50K+ per project | Monthly retainer, fraction of a salary | €120K+/year plus equity and recruiting |
| Accountability | For the deliverable | For outcomes, month over month | For everything |
| Time to start | Weeks of scoping | Weeks | Months of searching and onboarding |
A consultant solves a problem and hands it over. A fractional leader sits in your leadership meetings and answers for the roadmap next month, and the month after. That difference is the whole point: continuity and accountability instead of one-off delivery.
Signs you need one
You probably need fractional data leadership if more than two of these sound familiar:
- Data work is happening, but nobody senior is directing it
- Two dashboards disagree on revenue and nobody can say which is right
- You knew churn was climbing months after the signals were in the data
- The board asks data questions and gets "we'll follow up" as an answer
- You want to make your first data hires and aren't sure what roles to open
And you probably don't need one if you're pre-product-market-fit with no meaningful data volume (hire an analyst first), or if you already have a strong senior data leader and just need extra hands. That's staff augmentation, and it's a different purchase.
When fractional ends
Done right, fractional data leadership is a bridge, not a subscription. As the data function grows, the retainer builds both the case and the plan for a full-time hire. The fractional leader writes the job spec, runs the interviews, and hands over a working system instead of a blank page.
That's how we run it at AnalyticsLab: fractional Head of Data engagements at one to two days a week, three-month minimum, month-to-month after that. If the gap described here looks familiar, start a conversation. You'll get a straight answer about whether fractional fits, or whether an analyst, a project, or a full-time search is the better move.