Fractional Head of Data, Analytics & AI

You need a Head of Data. You're not ready to hire one full-time.

I step into growing companies for 3–6 months, build the data foundations they're missing, and leave behind a system — and often a team — that keeps running without me.

Book a call

Does this sound familiar?

Product, marketing and finance each have their own numbers, and they don't agree.
Nobody fully owns the data function — it's split between an overloaded engineer, a BI tool nobody trusts, and spreadsheets.
Marketing spend is scaling faster than your ability to measure what it's actually returning.
You know you need a Head of Data, but you're not ready to commit to a full-time senior hire — or you want to see the shape of the function before you do.

That's the gap I fill.

What I do

Interim / Fractional Head of Data, Analytics & AI for digital startups, scale-ups and mid-sized companies, 20–200 employees, mostly across Europe and the US.

I combine business understanding, product, growth and data — hands-on when the work needs it, and at the architecture, hiring and executive table when it doesn't.

Three things I typically deliver in a 3–6 month engagement:

A data stack that holds up

A cloud data warehouse, a proper transformation layer, and orchestrated pipelines. Analytics-ready data models, not another brittle pile of scheduled scripts.

Numbers people actually trust

Product, marketing and financial KPIs with one definition each. Cohort and LTV analysis. BI dashboards that survive contact with the exec team.

A function, not just a project

Ownership, hiring, process. When I leave, someone (often someone I hired or trained) can keep it running.

Case study — 52 Entertainment

VP Data — building the data function from scratch.

250employees

€140Mrevenue

8business units

2 → 10team scaled

8 business units, 8 different tech stacks and business models, no shared data language.

What I built:

Data warehouse on BigQuery, analytics engineering with dbt, BI with Looker, orchestration with Prefect
~60 dashboards covering product, marketing, finance and executive reporting
LTV prediction models feeding marketing investment decisions
A team scaled from 2 to 10 people, which I recruited and managed

The hard part wasn't the warehouse. It was building one analytical language that 8 different businesses could all trust and use.

How engagements work

Role	Interim / Fractional Head of Data, Analytics & AI
Duration	3–6 months
Mode	Remote-first
Rate	Depends on scope — we'll cover it on the call

Depending on scope, I can also bring in senior partners I've worked with directly — data engineering, marketing/CRM, paid acquisition — so you get a small senior team instead of a single generalist stretched too thin.

Let's see if this is a fit

A few questions so we can make the call useful — this isn't a mailing list signup.

Prefer email? jice@lavocat.name · LinkedIn