A fractional Head of Data for companies
that aren't ready to hire one full-time.

What a fractional Head of Data actually does

A fractional Head of Data owns the parts of the job that don't show up in a job posting for a data analyst or a BI developer:

• Sets data and AI strategy, not just executes it
• Prioritizes the roadmap, and says no to the wrong projects
• Oversees and mentors any analytics or data engineering staff already in place
• Builds the hiring plan and writes the job descriptions for future full-time roles
• Makes the build-vs-buy and vendor calls on tooling
• Reports results directly to the CEO, CTO, or board

Some companies call this role a Head of Data. Some call it a fractional CDO. Some call it a fractional data leader. The job is the same regardless of the title on the contract: someone senior, accountable, and embedded. Just not full-time.

Fractional Head of Data vs. fractional CDO vs. project consulting

"Fractional Head of Data" and "fractional CDO" describe the same engagement. Which term a company uses usually comes down to headcount and how formal the org chart is: a 60-person company says "Head of Data," a 400-person company with a board that likes exec titles says "CDO." AnalyticsLab answers to both.

What's actually different is fractional versus project. AnalyticsLab's project consulting has a defined scope, a start date, and an end date: a churn model shipped, an architecture redesigned, a team stood up. Fractional leadership has no end date by design. It's the same senior person, the same standard, applied on an ongoing basis instead of a fixed one.

Who this is for

Fractional Head of Data fits B2B SaaS, fintech, and cybersecurity companies (50 to 500 employees, usually €5M–€50M in revenue) where:

• Data or analytics work is already happening, but nobody senior is directing it
• Leadership knows data should be driving decisions and isn't there yet
• A full-time Head of Data or CDO isn't justified yet, but the gap is costing something
• Someone needs to be at the leadership table this quarter, not after a four-month search
• Fractional is being used as a bridge while the company builds the internal case for a permanent hire

It's not for pre-product-market-fit companies with no meaningful data volume yet. Hire an analyst first. It's not for companies that already have a strong senior data leader and just need extra hands. That's staff augmentation, and it's not what AnalyticsLab does. And it's not a substitute for a single, bounded project with a clear deliverable. That's project consulting.

What's included in the retainer

• Cadence: 1–2 days a week, recurring, booked on the calendar like any other member of the leadership team
• Deliverables: a live strategy and roadmap, a hiring plan for future data hires, monthly (or more frequent) reporting to leadership and the board
• Access: direct Slack or email for day-to-day questions, not a quarterly check-in
• Terms: 3-month minimum, then month-to-month with 30 days' notice either way. No annual contract, no auto-renewal surprises, no equity ask
• Price: scaled to days per week, billed monthly. As a reference point, a full-time Head of Data or CDO costs €120K+ a year in salary alone, before equity, benefits, and a recruiting bill. A fractional retainer costs a fraction of that. Exact numbers get scoped on the call. There's no rate card that fits every company's situation.

The cost of not having senior data leadership

Most of the companies that end up hiring a fractional Head of Data aren't in crisis. They have a warehouse, a BI tool, and a growing pile of CRM and product data, and nobody senior enough to make it add up. Dashboards disagree on revenue. Churn signals sit in the data for months before anyone notices. Models a data scientist built live in a notebook instead of production. None of that shows up on an income statement as a line item. It shows up as decisions made on gut feel that a senior data leader would have made on evidence.

How fractional engagements start

Fractional engagements begin the same way project engagements do: a short diagnostic phase: two to three working sessions to understand what's being collected, what's missing, and where data is or isn't reaching the people who make decisions. From there, instead of handing over a roadmap and leaving, the retainer starts: the same person keeps architecting and executing, on a fixed cadence, month after month.

Fractional Head of Data FAQ

What is a fractional Head of Data?

A fractional Head of Data, also called a fractional CDO, is a senior data leader who works with a company part-time, typically one to two days a week, on a monthly retainer instead of a full-time salary. AnalyticsLab's fractional engagements cover strategy, roadmap ownership, team oversight, and board reporting.

How is a fractional Head of Data different from a project consultant?

A project consultant delivers a defined scope and leaves. A fractional Head of Data is embedded on an ongoing retainer: attends leadership meetings, owns the data roadmap, and answers for outcomes month over month, similar to a full-time hire, just not full-time.

How much does a fractional Head of Data cost?

A full-time Head of Data or Chief Data Officer typically costs €120K+ per year in salary alone, before equity and benefits. A fractional Head of Data retainer costs a fraction of that, billed monthly and scaled to the days per week needed, with no recruiting cost and no ramp-up time.

When does a company need a fractional Head of Data instead of a full-time hire?

When data work is already happening but nobody senior is directing it, and the company isn't yet ready to justify a €120K+/year full-time hire. Many companies use fractional leadership as a bridge while building the internal case for a permanent hire.

What's the minimum commitment for a fractional engagement?

Three months, then month-to-month with 30 days' notice either way. No annual contract, no auto-renewal surprises.