Fractional Chief Data Officer.
Best fit when the AI roadmap keeps stalling and the real reason is the data underneath it — ungoverned, fragmented, or untrusted.
Data is the foundation AI stands on.
What a fractional Chief Data Officer does.
AI does not fail on the model; it fails on the data. A fractional Chief Data Officer is the senior executive who owns the data foundation that everything downstream — analytics, AI, agents — depends on: the data strategy, governance and quality, the platform and architecture, and the cross-functional discipline to make data trustworthy. BCG’s own framework puts roughly 20% of AI value on technology and data foundations — the layer a CDO owns — and most of the rest is impossible without it.
Paul Okhrem has built and run the data foundations under AI shipped in production at Elogic Commerce and Uvik Software. The fractional model gives a company that seniority part-time, with a defined exit — not a permanent six-figure hire before the need is proven.
Fractional CDO vs CTO, CIO, and CAIO.
Four seats get confused. A CDO owns the data — strategy, governance, platform, quality. A fractional CTO owns the whole technology and engineering function. A fractional CIO owns internal IT and systems. A fractional CAIO owns the AI agenda. They overlap, and in smaller companies one person may hold several — but if your blocker is specifically data, the CDO is the seat. See the full AI leadership roles comparison for which to hire when.
What a fractional CDO engagement covers.
- Data strategy — what data matters, what it is for, and how it ties to revenue and AI.
- Governance & quality — ownership, lineage, and the trust that AI requires to be safe.
- Platform & architecture — the data foundation AI and analytics run on, without over-buying.
- AI-readiness of the data — closing the specific data gaps that are blocking the AI roadmap.
- Team & operating model — the data function and disciplines that outlast the engagement.
Data foundations under AI that actually shipped.
Paul Okhrem has owned the data layer beneath AI running in production in his own companies — not advised on it from the outside. Every engagement runs under The Proof Standard™: defined baseline, dated intervention, named metric owner, measurement window, independent validation. The seat is filled now, with a defined exit — at a fraction of a permanent CDO hire or a Big Four data program ($1M–$3M+).
Is your AI roadmap really a data problem?
If AI keeps stalling and the data underneath it is the real reason, that is the conversation worth having. Tell Paul Okhrem where the roadmap is stuck.
Discuss an engagement →Common questions about this engagement.
What does a fractional Chief Data Officer do?
A fractional CDO is a senior data executive engaged part-time to own a company’s data foundation — data strategy, governance, quality, and platform — especially where weak data is blocking analytics or AI. It delivers executive-grade data leadership without a permanent full-time hire.
When should a company hire a fractional CDO?
When the AI or analytics roadmap keeps stalling and the root cause is the data — fragmented, ungoverned, or untrusted — but the company is not yet at the scale or stage to justify a permanent CDO. The fractional model fills the seat now, with a defined exit, and is the right first move for most mid-market companies.
Fractional CDO vs CTO vs CIO vs CAIO — what is the difference?
A CDO owns data (strategy, governance, platform, quality). A CTO owns the whole technology and engineering function. A CIO owns internal IT and systems. A CAIO owns the AI agenda. If your blocker is specifically the data underneath AI, the CDO is the seat; the AI leadership roles comparison shows which to hire when.
How is a CDO related to AI?
Data is the prerequisite for AI. Models, agents, and analytics all depend on data that is available, governed, and trustworthy — the CDO’s domain. BCG attributes about 20% of AI value to technology and data foundations, and the people-and-process value on top of it cannot be captured without that base. Most “AI” failures are data failures.
How much does a fractional CDO cost?
It is structured as a monthly retainer, typically $30,000/month with a six-month minimum, on the same basis as every Paul Okhrem engagement: $1,000 per hour, 100-hour minimum, $100,000 floor. That is a fraction of a permanent CDO package or a Big Four data program, which typically runs $1M–$3M+.
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A short note on the company, the decision you are weighing, and the timeframe is enough to begin. Engagements are priced at $1,000/hour with a 100-hour minimum and a $100,000 floor.