What a chief AI officer job description should say
A chief AI officer job description should state which AI decisions the role owns, which it only recommends, who it reports to, what it must produce in its first 90 days, and what evidence qualifies a candidate. Many templates stop at a list of responsibilities: strategy, governance, delivery, culture. Two candidates can agree to that list and picture different jobs. The decision rights and the reporting line are what make it one job.
What does a chief AI officer do?
Federal guidance offers one detailed public definition. Memorandum M-25-21 (opens in a new tab) from the White House Office of Management and Budget, dated April 3, 2025, required each federal agency to retain or designate a Chief AI Officer (CAIO) within 60 days. Among the listed duties, the CAIO must:
- promote agency-wide responsible AI innovation and adoption through a governance and oversight process;
- serve as the senior advisor on AI to the head of the agency and in executive decision-making forums;
- maintain the agency's AI use case inventory;
- establish processes to measure, monitor, and evaluate the ongoing performance of high-impact AI, including an independent review before risk is accepted; and
- provide guidance to the agency head and CFO on AI investments related to the resourcing needed to implement the memo, and support agency efforts to track AI spending.
The memo also requires that the CAIO have "the necessary authority" to carry out those duties and be "positioned highly enough to engage regularly with other agency leadership." Agencies may designate an existing official, such as a CIO, chief data officer, or CTO, if that person has significant AI expertise.
Companies are not bound by the memo, but its shape translates well: an inventory of AI uses, a decision forum, measurement, a voice on AI resourcing and spending, and enough standing to be heard.
Naming the role is the easy part
On September 24, 2026, the Small Business Administration's inspector general reported (opens in a new tab) that SBA had appointed a CAIO, but that as of April 30, 2026 it had not convened its required AI governance board, published an AI strategy and compliance plan, or developed a generative AI policy, while it was piloting AI tools. The report concerns SBA's own compliance; the lesson for companies is that an appointment is not a function. A job description should name the forums, the records, and the first deliverables, so progress is visible to whoever created the role.
Chief AI officer vs CTO, CIO, and data lead
Where these roles exist, they overlap. Settle the overlap in writing, in the decision-rights grid below.
| Role | Usually owns | Where AI overlaps |
|---|---|---|
| CTO | Technology and engineering choices | AI features in the product; technical build-versus-buy |
| CIO, IT lead, or managed IT provider | Internal systems, accounts, devices, security | AI tools staff use; access and data controls |
| Chief data officer or data lead | Data definitions, quality, and access | Whether data is ready for an AI use |
| Chief AI officer | The AI portfolio across functions: which uses to fund, evaluation and governance gates, AI vendor decisions, reporting | All of the above, by design |
In a small company with none of these roles, the question is not "CAIO or CTO" but who owns AI decisions at all. The template still applies.
Who does a chief AI officer report to?
If the mandate spans operations, customer service, and finance, the role should report to the CEO or COO, where trade-offs between departments are settled. If AI is mostly a product feature, reporting to the CTO can work, but it narrows the mandate to the product. Whatever the line, the AI Risk Management Framework (opens in a new tab) from NIST, the U.S. standards agency, expects roles and lines of communication for AI risk to be documented and clear (GOVERN 2.1), and executive leadership to take responsibility for decisions about AI risks (GOVERN 2.3). NIST notes that the framework is being revised (opens in a new tab) as of October 2026.
Chief AI officer job description template
Write it in two passes: decision rights first, then the sections built around them.
Start with a decision-rights grid
List the AI decisions that come up in your company. For each, write whether the role owns it, recommends it, or leads and escalates, and who has the final say. These illustrative rows assume a mid-size company with a COO, a CTO or IT lead, and outside counsel.
| Decision | The chief AI officer's part | Final say |
|---|---|---|
| Approve a new AI tool for staff use | Owns, within the written use policy | Chief AI officer |
| Start, narrow, or stop an AI pilot | Owns, within the agreed budget | Chief AI officer; CEO or COO above the budget |
| Set evaluation criteria and pass thresholds | Owns | Chief AI officer |
| Select an AI vendor | Owns, within procurement limits | Chief AI officer; CFO above the limit |
| Release an AI feature to customers | Owns the evaluation gate the feature must pass | CTO, once the gate is passed |
| Accept a remaining AI risk | Recommends, with written reasoning | CEO or COO |
| Sign an AI contract | Recommends the technical and commercial terms | An authorized officer, with counsel |
| Hire for the AI team | Recommends and runs the interviews | CEO |
| Respond to an AI incident affecting customers | Leads the response and escalates immediately | CEO, for anything said publicly |
Every "owns" row needs a stated limit, and every "recommends" row needs a named decider. Leaving risk acceptance with an executive follows NIST's GOVERN 2.3 expectation above; an AI risk assessment register records, for each AI use, the risk that remains and who accepted it. The incident row works only if the steps are written before they are needed, which is what an AI incident response plan is for. If almost every row ends with someone else having the final say, you are describing an advisor, not an officer.
The full template
Copy the sections and replace the illustrative example wording.
| Section | What to write | Example wording |
|---|---|---|
| Role purpose | One or two sentences tying AI to named business outcomes | Lead the company's use of AI in customer operations and finance so approved uses meet written quality and cost thresholds. |
| Decisions the role owns | The "owns" rows from the grid, with their limits | Approves or stops AI pilots within budget; sets evaluation criteria; selects AI vendors within procurement limits. |
| Decisions it recommends | The "recommends" rows, and who decides each | Recommends investments above the budget limit, hiring, and contract terms to the CEO and CFO. |
| Escalation triggers | What goes to leadership immediately | Incidents affecting customers, regulated data, or public statements. |
| Reporting line and forums | Who it reports to and which meetings it attends | Reports to the COO; attends the monthly leadership meeting; chairs a monthly AI review. |
| Time commitment | Full-time or part-time, and the fixed meetings and decision windows | Part-time: both monthly meetings, plus agreed availability for escalations. |
| Responsibilities | The recurring work | Maintain the AI use inventory and decision record; run evaluation and governance gates; review vendors; report monthly on results, costs, and incidents. |
| Working relationships | Who it depends on | IT provider for access and security; finance for AI spending; counsel for contracts and regulated data. |
| Out of scope | What it does not own | Does not sign contracts, set compensation, or take legal positions. |
| Qualifications | Evidence of judgment, not titles or years on specific tools | Has evaluated AI systems against written criteria; has stopped or narrowed an AI project on evidence; can walk through a past decision record, vendor review, or incident in detail. |
| First-year success measures | How the role is judged | Decisions made on time with recorded evidence; stopped work recorded as well as shipped work; no AI use running without an owner. |
Outcomes for the first 90 days
The first 90 days should produce things a CEO can inspect, not a strategy deck. At small scale, they mirror the inventory, governance, and measurement duties in M-25-21.
Days 1 to 30: inventory. Every AI use in the company, approved or not, with its owner, the data it touches, and the vendor behind it.
Days 31 to 60: rules and criteria. An AI acceptable use policy and approval path for new tools, written evaluation criteria for the most important uses, and a review of the largest vendor commitments.
Days 61 to 90: record and report. A decision record in use, the first monthly report to leadership, a short roadmap with stop conditions for each item, and a recommendation on the team: hire, train, or keep outside help.
Three versions by company size
The same template produces different jobs at different scales. These are editorial starting points, not market data.
| Small company, no CTO | Mid-size company with IT or engineering staff | Company where AI is central to the product | |
|---|---|---|---|
| Likely form | Owner or COO with outside help, or a part-time mandate | Part-time or full-time, depending on workload | Full-time executive, usually with a team |
| Reports to | Owner or CEO | CEO or COO | CEO |
| Decision rights focus | Approved tools, data rules, vendor choices | Which uses to fund, governance gates, vendor portfolio | Product AI strategy, platform choices, risk program |
| First 90 days | Inventory, use policy, one measured use | Inventory, evaluation criteria, vendor review, monthly report | All of those, plus team structure and product roadmap |
| Hands-on work | Configures and tests tools directly | Oversight plus named implementation | Leads the teams that build |
Signs a fractional mandate fits better than a hire
Read the finished template back. A part-time mandate may fit better if:
- the decisions the role owns come up a few times a month, not every day;
- the first 90 days are mostly inventory, policy, and vendor review, not building and leading a team;
- you cannot yet write success measures for the year beyond the first 90 days; or
- the reporting line and decision forums exist, but the workload would not fill a full-time week.
If the template shows daily decisions, a team to lead, and AI at the center of the product, write it as a full-time role. For more on the choice, see the comparison of a consultant, a fractional CAIO, and a full-time hire, what a fractional Chief AI Officer is, and what shapes fractional CAIO cost and scope.
A fractional seat can also inform the eventual job description: a hiring plan and interview support for the permanent team are part of the Fractional CAIO engagement at Cleland & Co., so the description reflects the decisions and workload seen inside the company, not a generic title.
