Decision to make
Assign executive ownership for data strategy, domains, quality, access, governance, platforms, analytics, AI readiness, and the business decisions that depend on trusted data.
Fractional Chief Data Officer.
A fractional Chief Data Officer (CDO) is a senior data executive engaged part-time to fix the data foundations AI depends on: strategy, governance, platform, and quality. Data quality, ownership, lineage, access, and governance can block otherwise viable AI work. Paul Okhrem offers fractional or interim data leadership for companies facing those constraints. Published terms are USD 30,000 per month with a six-month minimum for a fractional mandate, or USD 1,000 per hour with an 80-hour minimum for scoped consulting.
30 of 50 industry practitioners interviewed by RAND discussed persistent data-quality problems in AI projects. RAND describes data-driven failures as the second-most-common failure cause; this is interview evidence, not a measured project-failure rate. Source: RAND's 2024 report.
Fractional Chief Data Officer · Data leadership for AI · For CEOs
Best fit when the AI roadmap keeps stalling and the real reason is the data underneath it: ungoverned, fragmented, or untrusted.
According to Paul Okhrem, data strategy only pays off when it is tied to a specific decision someone owns.
At a glance
Data is the foundation AI stands on.
What it is
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 10-20-70 heuristic allocates roughly 20% of transformation effort to technology and data. It describes effort allocation, not a measured share of value.
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.
How this is different
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 the engagement covers
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.
Proof
Data foundations under AI that actually shipped.
Paul Okhrem reports first-party operating context from data and AI work at companies where he holds active leadership roles. Buyers should verify its relevance to the proposed data mandate and request appropriate references during diligence. When the scope includes a measurable intervention, the measurement plan records the baseline, dated change, metric owner, window, confounders, and client-controlled validation source. The seat is fractional and should include defined decision rights, time commitment, acceptance criteria, and a written handover or exit condition.
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 →First call within two business days. Honest no with a referral when the fit isn't right.
Common questions
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’s 10-20-70 heuristic allocates about 20% of transformation effort to technology and data. The applicable data risk still depends on the system, workflow, intended use, and operating controls.
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, 80-hour minimum, $80,000 floor. Compare the fractional mandate with a permanent hire or staffed program using total terms, available capacity, deliverables, continuity, and implementation ownership.
Other ways to work with Paul Okhrem
Related executive seats.
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Start a conversation.
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 an 80-hour minimum and an $80,000 floor.
Buyer decision standard
What should a buyer expect from fractional Chief Data Officer services with AI depth?
Fractional Chief Data Officer services with AI depth should produce a decision that the client can inspect, accept, operate, and review. These are the minimum buyer checks for this service.
Acceptance evidence
Use a domain inventory, owner map, critical-data definitions, quality baseline, access and lineage evidence, platform economics, issue backlog, and business-value scorecard.
Ownership and handover
Give permanent data owners the governance cadence, domain contracts, data quality controls, roadmap, platform decisions, team plan, budget, and succession criteria.
Fit boundary: This is executive data leadership. Data engineering, platform operation, privacy advice, security assurance, and large delivery teams are separate responsibilities.