Services

Senior data leadership, without the seat.

I work with a small number of companies at a time. Three ways in, all of them hands-on, all of them measured by whether your number moves and whether your team trusts it.

01

Fractional data leadership

One to two days a week as your head of data: strategy, governance, vendor decisions, hiring and mentoring, and the executive reporting your board actually reads. Built for growth-stage companies that need the judgment before they can justify the full-time executive.

Best for: $20M to $500M companies without a senior data leader

1–2dper week
02

Revenue intelligence buildout

Pipeline to bookings to ARR, decomposed and governed on Microsoft Fabric and Power BI. Salesforce integration, standardized revenue logic, executive dashboards, and forecast decomposition so leadership sees why the number moved, not just that it moved. The same playbook that improved forecast accuracy 20% at a $1B software company.

Best for: RevOps and Finance teams tired of dueling spreadsheets

8–16wtypical build
03

AI-enabled analytics sprint

A focused engagement to move your analytics from dashboards toward decision systems: LLM-assisted analysis and summarization, agentic workflows that act on signals, and MCP-based integration between AI and your data platform. Ends with working prototypes on your data, not a slide deck.

Best for: data teams with a mandate to "do something with AI" and no roadmap

4–6wsprint

How it works

A

Diagnose

A short paid discovery: your systems, your definitions, your incentive structure. Most reporting problems are provenance problems. We find yours.

B

Build

Hands-on work with your team, in your environment. Weekly demos of working software, not status decks. Your people learn the system as it grows.

C

Hand over

Documentation, governance standards, and a team that can run it without me. Success is when you stop needing the consultant.

Start here

Tell me what your number
is hiding.

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