Stage diagnosis · Greenfield stand-up

A data office from zero, designed as a catalog of choices.

Stand up a greenfield Enterprise Data Office — operating model, org, funding, platform, and governance — as a menu of options with recommended fits, not a generic template.

For the incoming Head of Data Office at a ~$2B enterprise: zero existing function, zero staff, ~6 decisions to make at once under board scrutiny. This is decision-support, not staff-aug.

Walk the options catalog

The problem

Most data and AI mandates stall between intent and operating reality.

The greenfield trap is not the technology. It is the operating model, the funding posture, the governance, and the decisions no one yet owns — all locked in at once, under board scrutiny, with no template that fits a ~$2B context.

~84% of AI failures were leadership- and misalignment-driven — not technology. Source: ICP buying-signal reference
~46% of organizations scrapped POCs before they ever reached production. Source: ICP buying-signal reference
~71% do not track adoption metrics — so value stays invisible to the board. Source: ICP buying-signal reference

What it is

A structured design engagement, delivered as a 16-area options catalog.

A menu of possibilities, not a set of decisions. Each of 16 areas (A–P) is a slate of options with tradeoffs and a recommended fit for your locked context — operating model and org chart, three-year funding, product roadmap, technical architecture and build posture, teams, and the full trust stack: security, data governance, MDM, metadata and lineage, AI governance, and regulatory scope.

It closes on the 6 open decisions you must make explicitly to move. Illustrative FTE and run-rate benchmarks (25–70 FTE by ambition) are there to validate against your reality — not commitments. The engagement is a design / blueprint scope, and a natural on-ramp to the build.

What you get

The blueprint, decided together.

A · B

Operating model & org chart

Hub-and-spoke / hybrid recommended, with the org shape to match the mandate.

C

Three-year funding model

Central → showback → selective chargeback, phased across Y1–Y3.

D

Product roadmap

Foundation → predictive → advanced AI / GenAI, sequenced to value.

E

Architecture & build posture

Technical architecture and a build-vs-buy posture for the platform stack.

F

Teams & literacy

Support, data advocates per tower, and an education / literacy program.

G – P

Trust stack & first 100 days

Governance, MDM, metadata & lineage, AI governance, regulatory scope, and the 6 decisions to make.

Who it's for · the three-stage ladder

Matched to where you sit on the adoption curve — not sold one-size-fits-all.

For the incoming Head of Data Office (CDO / CDAO / VP Data) reporting to the CEO, CFO, or CIO, and the executive sponsor funding the greenfield build. The stand-up blueprint is the on-ramp; the ladder below is the path from design to a scaled operating advantage.

Greenfield · design from zero

Enterprise Data Office Stand-Up

The 16-area options catalog with recommended fits for your locked context.

You are here Proven value · scale it structurally

AI Operating Model Transformation

From proven pilots to scaled operating advantage — the build for the blueprint.

See the engagement Past exploration · sustained judgment

Fractional AI Product & Monetization Lead

Sustained executive steering for AI prioritization, packaging, and ROI.

See the engagement

Next step

Walk the catalog. Decide the 6 forks together.

A design / blueprint engagement, scoped on the call — fixed-fee, with the benchmarks treated as numbers to validate, not commitments.

Walk the options catalog Book an intro call