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Ways to work together

Four ways in. One person accountable.

Start with an assessment, build one specific thing, bring me on a retainer, or add the AI and automation layer. Compare the four below, and open any for the full detail.

Start here

Scope & roadmap

Short term, under a month

A short review, and a scoped roadmap with rough costs and an MVP.

  • An assessment of your stack and data
  • Several options and recommendations to weigh up
  • Tool-agnostic advice; not partnered with any vendor
  • A prioritised plan with rough costs, and an MVP

Best for: everyone. The best way to start.

Start with a scope

Fixed project

A well-scoped build

One specific thing, scoped and built. You own it outright.

One of: Warehouse Pipelines Dashboard Analysis AI agent
  • Scoped and priced up front, in writing
  • Built and documented in version control
  • A short handover, so your team can run it
  • Yours outright

Best for: a defined piece of work, built and handed over.

Start a project
Booking from Q4 2026

Retainer

Ongoing, 2 to 4 days a week

Part of your team, long-term. Two ways to work. A Scope or Fixed project can start before then.

  • I run your function as a fractional lead
  • Or I embed as a senior analyst alongside
  • Product analytics, one-off analysis, AB testing
  • Mentoring and AI building included

Best for: ongoing senior analytics, fractional or embedded.

Discuss a retainer

AI & automation

On a model you trust

The manual work, running itself. Built on numbers that tie out.

  • Reports that draft themselves
  • Agents that reconcile overnight
  • Data workflows and small app builds
  • Built and maintained, not bolted on

Best for: teams losing hours to manual reporting.

Discuss an AI build

Scope & roadmap · under a month

A short, focused review of what you have and what's working. You leave with a prioritised, costed roadmap, an MVP scoped where a build makes sense, and tool-agnostic recommendations you can act on yourself, hand to your team, or use to brief a bigger build.

Includes

  • An assessment of your stack and data
  • Several options and recommendations to weigh up
  • Tool-agnostic advice; I'm not partnered with any vendor
  • A prioritised plan with rough costs, and an MVP if a build makes sense

Who it's for

  • Everyone. The best way to start working together
  • Anyone who wants the shape and cost before committing to a build
  • Teams not sure which package they need, or whether they need one
Start with a scope

Fixed project · a well-scoped build

A defined build, scoped up front, then built, documented, and handed over. You own it outright. It can be any one of these.

What it can be

  • A data warehouse stood up
  • Data pipelines and automations
  • A dashboard, built once and properly
  • A one-off analysis you can defend
  • An AI agent or solution

Who it's for

  • You need one specific thing built and handed over
  • A report or dashboard a team keeps asking for
  • A pipeline, warehouse, or automation to set up
  • A one-off analysis, or an AI agent for a specific job
Start a project

Retainer · 2 to 4 days a week · booking from Q4 2026

Two ways to work, depending on your team. Either way you get product analytics, mentoring, and the AI layer kept current. Most retainers run for years; the shortest so far was six months. New retainers are booking from Q4 2026; if you need to move before then, a Scope or Fixed project can land the one number sooner.

No senior owner yet

I run your analytics function

As a fractional lead, often for smaller companies. I hold the roadmap with leadership and take the ARR and retention story off your plate.

You have a strong senior analyst

I embed alongside

You keep the roadmap. I multiply the effort on the hard parts, product analytics, experimentation, the semantic layer an agent sits on, and hand it back. See a handover →

Includes

  • Product analytics, one-off analysis, and AB testing
  • The whole function built and run, or delivered against your roadmap
  • When Finance, Product and the CRO disagree on a number, I do the reconciliation work and bring you the one defensible definition to take to the room
  • Mentoring for your analysts; the AI layer kept current
  • Hiring support when you are ready for a permanent hire

Who it's for

  • Companies that need a Head of Data function but aren't ready to hire one
  • Teams with a stretched senior analyst who want a technical peer
  • Founders and CFOs who want to own the analytics function long-term
Discuss a retainer

AI & automation · on a model you trust

Agentic automations, data workflows, and app builds, on top of a model whose numbers tie out. It runs on the foundation the other packages build, so the answers reconcile instead of being a confident number nobody can defend.

What it does

  • Reports that draft themselves
  • Agents that reconcile overnight and Slack the exceptions
  • Data workflows and small app builds
  • Built and maintained, on a layer you can defend

Who it's for

  • Teams losing hours to manual reporting and reconciliation
  • Leaders who want AI on their data, built on numbers they trust
  • Added to a fixed project or a retainer, or built on its own

How the commitment works

On a fixed project, the deliverable, the edges around it, and the date are agreed in writing before any work starts. No scope-creep surprises. Retainers are reviewed against outcomes every quarter and renew only because the work has earned it. A scope is small and bounded, and the roadmap is yours either way.

How an engagement runs

1

It starts bounded

A scope or a fixed project, with the first commitment small and the scope written down before anything begins.

2

It is built to be handed over

Documentation, runbooks, and code your team can read. The deliverable includes your team able to run it without me.

3

The same person stays

Same operator from day one. When a project needs a skill I don't carry, or the timeline is tight, I bring in operators from a network I trust, only ever with your agreement, and I stay accountable for the result. You always get me on calls.

21 projects, documented in full.

From more than 50 delivered, across fintech, EdTech, mobile gaming, e-commerce, creative agencies, and enterprise.

Previous projects

Not sure which way in?

Tell me where your data is today and what is on fire. I'll figure out scope on a 30-min call before either of us commits to anything.

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