Hire · carbon.talent
Hire fractional data and AI consultants
Last updated 18 Oct 2026
carbon.talent is a data and AI talent platform. Hire fractional data and AI consultants for ongoing, part-time ownership of data work, anywhere.
A fractional data hire is a senior person who works part-time for you on an ongoing basis, usually a set number of days a month, instead of full-time. It suits companies that need senior data judgement (a head of data, a platform architect, a senior engineer or analyst) before they need, or can justify, a full-time hire. On carbon.talent you post a fractional role, set the days and overlap hours, and hire anywhere. Carbon offers contract and fractional consultants for data and AI work.
Set the days and the decisions they own. Agree the rate and sign on the platform.
What a fractional data person actually does
- Fractional head of data / chief data officer. Sets the data strategy, picks the stack, defines the core metrics, decides what to build first, and hires or manages the first data people.
- Fractional data engineer. Owns the platform a few days a month: pipelines, warehouse, orchestration, cost, reliability. Often the first data hire at a startup.
- Fractional analytics engineer. Owns the dbt model layer and metric definitions so dashboards agree.
- Fractional data analyst. Runs recurring analysis and reporting for a team that doesn't need a full-time analyst.
- Fractional data scientist / ML lead. Scopes and ships a first model, sets evaluation standards, and decides build vs buy for AI features.
- A fractional data team. Two or three fractional people (for example a head of data plus an engineer) covering strategy and delivery together.
Fractional vs full-time vs contract
| Question | Fractional | Contract | Full-time |
|---|---|---|---|
| How much of their week? | Part of it, ongoing | Most of it, fixed term | All of it |
| Best for | Senior judgement, ownership at small scale | A defined build or migration | Core ownership at scale |
| Main risk | Scope grows faster than days | Knowledge leaves at the end | Slow, expensive mis-hire |
| Signal it's time to switch | They are always out of days; the backlog is delivery, not decisions | The outcome keeps moving | You need daily ownership and a team under them |
Rule of thumb: go fractional when your problem is decisions and direction; go contract when it's delivery against a deadline; go full-time when it's daily ownership that will last.
How to scope a fractional data role
- Decisions they own. Write the three to five decisions you want them to make (for example "warehouse and orchestration choice", "the definition of active customer", "whether we hire an analyst or an engineer first").
- Days and rhythm. Days per month, which days, and the meetings they attend. Fewer, fixed days beat scattered hours.
- Overlap. The hours they must share with your team's time zone.
- Access and authority. Can they approve spend, merge to main, change metric definitions? Say so.
- What success looks like at 90 days. A written plan, a working core model, a first dashboard people trust, a hiring plan.
- Exit and handover. How you'll move to full-time ownership when you outgrow fractional.
What does a fractional data person cost?
Cost is days per month × day rate (or hours × hourly rate), usually billed monthly. Rates depend on seniority, scope, the market they work in and how much decision-making authority the role carries. Ask candidates for a day rate and a recommended number of days for the scope you wrote; a strong fractional lead will push back if your scope doesn't fit the days. Agree the rate and contract on the platform.
How to judge a fractional candidate
- They ask about decisions, constraints and people before tools.
- They can show a plan they wrote for a previous company and what happened next.
- They tell you what they won't do in the days you have.
- They have a clear view of when you should replace them with a full-time hire.
- Vetted carbon.talent profiles show a vetting report from Carbon's real-world data experience test (scenario-based, not a coding test), a working-style profile and a short video intro, which is useful when the person will work with little supervision. ID checks are available on Team and Scale.
How hiring fractional works on carbon.talent
- Post your role free. Choose fractional (part-time), set days per month, remote or on-site, the country and overlap hours.
- See applicants ranked by fit with vetted profiles.
- Interview with an interview guide tailored to the role and the candidate.
- Agree the rate, draft the contract and sign on the platform.
Questions companies ask
- How do I hire fractional data and AI consultants?
- Scope the days per month and the decisions they will own, post the role as fractional, compare vetted profiles, interview on a real problem from your backlog, then agree the rate and sign on the platform. Carbon offers contract and fractional consultants for data and AI work.
- Fractional vs full-time data engineer: which should I hire?
- Fractional if you need senior judgement and a working platform but not daily ownership yet. Full-time once the backlog is daily delivery and you need someone accountable every day.
- What does a fractional head of data do?
- Sets data strategy, picks the stack, defines core metrics, decides what to build first and hires the first data people, a few days a month.
- How much does a fractional data team cost?
- Add up days per month × day rate for each person. Ask each candidate for a day rate and the days they think your scope needs, then compare that with a full-time salary plus hiring cost.
- Where do startups hire fractional data talent?
- Fractional marketplaces, their network, and data talent platforms like carbon.talent, where you post a fractional role, set the days and overlap hours, and hire anywhere.
- Can a fractional data hire become full-time?
- Yes, if both sides want it. Agree in the contract how a move to full-time works.