Consulting
Most engagements involve actually building or rebuilding something — a platform, a pilot, a team — rather than advising on what should happen.
What I do
Most engagements live inside one of these. They overlap in practice — an AI pilot usually needs a data platform underneath it; a team rebuild usually drives a stack decision — but each pillar is something I can be brought in for on its own.
Cloud data warehouses, data marts, integration pipelines, and the unglamorous governance work that makes them stick. I do the work — architecture, modeling, ETL, integration — not just the deck about what should happen. Most recently: an Azure Synapse EDW built from scratch for a 1,200-employee global manufacturer.
Includes
Helping BI and data teams use AI in their actual delivery work. Three different problems, in practice. How to speed up BI development. How to design AI pilots that clear the new bar of “is this worth building?”. How to build the middle layer — memory, retrieval, governance, audit — that lets AI projects survive contact with production.
Includes
Fractional or interim BI leadership. The shapes that come up most: a new function that needs standing up, a reorg you're navigating, a team that needs to scale, a gap between hires. Ten years of this at Comcast — including the from-2-to-16 team rebuild across the US and India and the BI consolidation across three divisions.
Includes
Also
Built on the Comcast Teradata migration training (500+ analysts) and the 2.5-day Data Science Practitioner program I designed for Comcast's Technology Learning Group. Most often this rides along with a build or leadership engagement, but it can also stand alone.
Let's talk
Tell me what you're working on. The first conversation is free and exploratory — no commitment beyond figuring out if there's a fit.