Hire a fractional Data Lead
A fractional data lead makes your numbers trustworthy and then makes them useful. They own the pipeline, the definitions and the reporting, and are typically hired when two dashboards disagree and nobody can say which is right.
What a fractional Data Lead owns
- Data infrastructure: where it lives, how it moves, whether it can be relied on
- One agreed definition of each metric, which is usually the actual problem
- Reporting that leadership uses rather than ignores
- Analytics and attribution that survive scrutiny
- Whether an AI or machine learning project is worth doing at all
Signs you need one
- Two reports give different answers to the same question
- Someone spends days each month assembling the board pack by hand
- You want to use AI and your data is nowhere near ready
- Decisions get made on instinct because nobody trusts the numbers
What it costs in the UK
Higher end for machine learning and AI strategy work as well as pipeline building.
Rates are set by the operator and paid to them directly. We are not in the payment path, and the operator never pays us a fee.
How this compares
An analyst answers questions inside a system somebody else built. A data engineer builds pipelines but does not usually decide what matters. A data lead owns both, and is the person who can tell you an AI project is premature and why.
What to look for
- Ask how they would fix conflicting reports, since it is the most common brief
- Someone who starts with decisions you need to make rather than tools
- Whether they can build as well as advise, if you have no data team
- Honest AI advice, including when the answer is not yet
Common questions
- What does a fractional data lead cost in the UK?
- Typically £700 to £1,200 a day, commonly one to two days a week. Machine learning and AI strategy work sits at the higher end.
- When does a company need a data lead?
- Usually when reporting stops being trustworthy: two dashboards disagree, the board pack is assembled by hand, or nobody can agree what a metric means. Also common before an AI project, where the honest answer is often that the data is not ready.
- Can they help us use AI properly?
- Yes, and a good one will start by telling you whether your data supports it. Most AI projects fail on data quality rather than modelling, so that conversation is worth more than it feels like at the time.
- Do we need a data lead if we already have an analyst?
- Often yes. An analyst answers questions well within a system. A data lead builds the system, sets the definitions, and decides what should be measured in the first place.
- Do you take a cut of their fee?
- No. We are not in the payment path and the operator never pays us anything.
Operator Search: £999 to run, £2,500 if you hire
Can't find the right Data Lead, or haven't got the time to look? We run the search and put three vetted operators in front of you in five business days. Both numbers agreed before anything starts, and the operator pays nothing either way.
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