Do You Need a Director of AI, a VP or a Chief AI Officer?

What does a director of AI do?

A director of AI runs a defined portfolio of AI initiatives under an executive sponsor. They set the roadmap, make buy-versus-build calls and get the work adopted across the business. They do not own AI for the whole company. That belongs to whoever sits above them.

The backgrounds make the job plain. In a sample of 1,000 AI Strategy leaders in our network, directors look far more like transformation operators than engineers: 79% of AI Strategy directors have also worked in digital transformation, compared with 63% of AI Governance directors. These people have spent their careers moving organizations onto new ways of working. An AI portfolio needs that skill once the pilots are done and the hard part is getting sales, operations and finance to change how they work.

ML engineering barely shows up in the same group. Only 4% of AI Strategy directors in our sample have it in their background, and the share is even lower among VPs and C-suite leaders. If your brief asks a director of AI to build models, you are describing a different job, one that belongs to a head of ML or an engineering leader.

One director of AI product at a large healthcare company governed a portfolio of AI initiatives worth over $100 million. They made buy-versus-build calls with executive leadership and turned marketing, sales and growth goals into the roadmap. That is the shape of a strong director hire: commercial translation and portfolio discipline, not code.

Hire a director to drive adoption across functions. Do not hire one to build the models. The harder question is how high the role should sit.

Director of AI vs chief AI officer: what's the difference?

A chief AI officer owns AI strategy, investment and risk for the whole company and answers to the CEO and the board. A director of AI delivers a portfolio inside someone else's mandate. If your AI decisions need a seat on the executive committee, a director title will not carry them, however capable the person is.

The resumes show the change in altitude, if modestly. In our sample, C-suite leaders lean slightly less on delivery outcomes such as quality and accuracy than directors do (82% vs 88%). Directors lead with whether the thing works. Chiefs are judged on whether the company is placing the right bets.

A C-suite title proves less than it seems. C-suite leaders in our sample reached their first director title faster than directors did, at 8 years against 10. But our C-suite group includes founders and chiefs of small companies, so a fast climb and a chief title can mean someone ran AI at a 40-person startup. It does not mean they have carried an AI agenda through an enterprise board, so check the scale of what they ran.

One C-suite technology leader in regulated healthcare and insurance directed a $95 million portfolio and a 250-person organization through five leaders. They presented AI strategy, investment and risk to the board. That is what the role looks like at full scale.

The pressure to create the role is real. AWS reports that 60% of organizations have already appointed a chief AI officer and another 26% plan to by 2026.¹ Do not create a CAIO title because peers have one. Create it when AI accountability has to sit at the top table. Many roles fall between a sponsored portfolio and a board mandate, and that is where the VP question comes in.

When do you hire a VP of AI instead?

Hire a VP of AI when the role needs its own budget, vendor authority and an organization to build. At that point a director-level operator is not enough. You need someone who has already done the director job and can run the function without a sponsor clearing the path.

The two levels are filled differently. In our sample, 34% of directors stepped up from a below-director role into their current one, compared with 18% of VPs. Directors are nearly twice as likely to have come straight from a below-director role. That works for a portfolio role with a strong sponsor. It is a real risk when the job is building a function from scratch.

Credentials do not separate the levels. In our sample, VPs are less likely than directors to hold a master's degree or doctorate (63% vs 73%). The degree is not what got people to the bigger job. A brief that filters VP candidates on an advanced degree will screen out many people already doing the work.

Look for evidence of authority already exercised. One VP at a financial services firm managed an AI budget of over $2 million a year with delegated spending and vendor authority. They oversaw three approved tooling vendors and a 300-seat AI assistant rollout that reached 80% adoption. That is a VP profile: money, vendors, scale and a measured result.

At VP level, screen on what the candidate has already run. Ask about budget owned, vendors selected and dropped, and the adoption numbers they were accountable for. Leave the degree and the job title on the resume for later. Once the level is set, the budget follows, though the pay data splits more cleanly by employer than by title.

Director of AI vs VP of AI salary: how much?

Our postings data does not split pay cleanly by title, so we will not claim a fixed step from director to VP. Across director, VP and C-suite AI strategy roles in the postings we analyzed, the median posted salary is $240,000, taken as the midpoint of the posted range. Where you hire moves that number. Startups post a $275,000 median against $225,000 at mid-size employers, a $50,000 spread.

These figures combine all three levels. Within them, employer type moves posted pay:

• By size: startups at $275,000, enterprises at $240,000, mid-size employers at $225,000.
• By sector: technology and staffing firms both post $265,000. Professional services posts $255,000 and IT services $245,000. Financial services sits lowest at $210,000.

That sector gap invites a common mistake. A bank sets a VP of AI budget off a technology-company salary survey and then wonders why the offer stalls in committee. Or a startup anchors on a financial services number and loses its finalist to a tech firm paying more for the same person. Both are mis-leveled before the search starts.

Set the range against your real competitors for this person: the employers your shortlist works for, not a generic title benchmark. Then decide whether the authority you are offering justifies paying above that peer median or within it. The range gets candidates to the table. The brief decides which ones you take seriously.

What should a director of AI brief require?

Require proof of value: a business case built, an investment justified and results measured. Leave certifications out, because few employers ask for them. Value framing is a main emphasis on director and VP resumes, yet employers stress it only moderately. A brief that makes it central will separate candidates quickly.

In the job postings we analyzed, building the business case and measuring value gets moderate weight at every level, from director through C-suite. On resumes, directors and VPs put it front and center, and C-suite leaders give it moderate weight.

The strongest director and VP candidates are already telling you how they justify spend and prove return. Most briefs are not asking. That gap is your advantage.

Ask what investment they justified, what return they measured afterward and who signed off. Candidates who have only run pilots cannot answer convincingly. Candidates who have carried a business case through finance can.

Certifications are a weak filter by comparison. Only 4-7% of AI strategy postings name one at any level, and 6% across the sample. Requiring one narrows your pool without telling you whether the person can get an AI program funded and adopted.

Write the brief around measurable investment outcomes. It matches how the best candidates already present themselves. It also gives your interview panel something concrete to probe instead of a list of tools and frameworks.

Title follows authority, pay follows peer group

Choose the title by the authority the job needs. A director of AI runs a portfolio and drives adoption under a sponsor. A VP of AI owns budget, vendors and an organization, and should already have proven themselves at director level. A chief AI officer owns AI for the whole company in front of the board, and a chief title on a resume does not by itself prove enterprise scale.

Then set pay against employers like you, not against a title average, and write a brief that demands proven value rather than credentials. Our AI executive search practice works on these roles. Get those three decisions right before the search starts.