Data Platforms
Warehouses, lakehouses and pipelines designed for reliability first — the foundation everything else stands on.
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Data, AI and cloud advisory from Sam Monroe — also known as Sandeep Mysore. I sit with the C‑suite on direction and with the engineers on delivery, so the plan in the deck is the system in production.
Most enterprises spread data platforms, machine learning, cloud, governance, FinOps and DevOps across a bench of leaders. I run all six under a single operating model — and answer, personally, for what each is measured on.
The results I care about are the ones that survive scrutiny: platforms held at 99.9% uptime, deployment errors cut, cloud spend brought under control, and AI investment that turns into outcomes a board can actually read. A plan that can't be built isn't a strategy — it's a wish.
Warehouses, lakehouses and pipelines designed for reliability first — the foundation everything else stands on.
From use‑case selection to production ML, RAG and agentic systems — scoped against real value, not hype.
Architecture on GCP, AWS and Azure that scales without surprises, with disaster recovery built in from day one.
Responsible AI, data quality and compliance treated as features of the platform — not paperwork bolted on after.
Cloud and AI spend made legible: unit economics, showback, and the engineering changes that actually move the bill.
CI/CD, platform engineering and team design so that shipping is a routine, not an event.
A standing seat at your table. Monthly strategy sessions, architecture reviews and a direct line between them.
OngoingExecutive ownership of data and AI without the full‑time hire — roadmap, team, vendors and the board narrative.
3 – 12 monthsA focused engagement that ends with a working system and the plan to scale it — not a slide deck.
4 – 8 weeksClear‑eyed sessions on what AI means for your business, your risk and your budget. Keynotes and workshops too.
Half / full dayEvery direction is pressure‑tested against the stack, the team and the budget that can actually deliver it.
Reliability, compliance and cost discipline are designed in — in regulated environments, that's what the outcome is measured on.
Evidence beats opinion. The fastest way to settle a debate is a working thing in front of the people debating it.
A candid conversation about where you are, what's been tried and what the board expects.
Platform, team and spend reviewed against outcomes. You get the honest picture, in writing.
A roadmap sequenced by value and feasibility — with owners, costs and the first proof defined.
I stay through the build: reviews, hiring, vendor calls and the numbers that prove it worked.