What data & AI executives earn

Base salary and total cash by title, industry, region, company size, and work model — presented as percentile ranges, because executive pay is set by the scale of the seat as much as the title on it.

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Burtch Works provides Talent Solutions and Managed Services across AI, Data Science, Analytics, Machine Learning, Data & Cloud Engineering, Cybersecurity, Product, Technology, and Market Research. With expertise, national reach, and curated networks, we support organizations throughout every stage of the AI journey—from initial hire to fully scaled teams.

Our 2025 Compensation Report provides current salary benchmarks and market trends, equipping talent leaders and job seekers with the data and insights needed to pursue value-driven opportunities and achieve sustainable ROI.

01 · THE RANKING

What actually predicts base salary

We fit base salary against nine characteristics of the seat, then removed each in turn to see how much unique explanatory power it held. The bars show that unique contribution — what is lost when the factor is taken away and the other eight remain.

Unique explanatory power, each factor with the other eight held

Number of reports managed
9.1%
Industry
5.6%
Geography (region)
5.5%
Company revenue
5.0%
Executive level
4.2%
Years of experience
2.6%
Reporting line
1.2%
Company headcount
0.2%
Work arrangement
0.1%

The headcount trap

Employee headcount looks like a real driver on its own — 8.7% of the variation — and collapses to 0.2% once revenue and span of control are known. It is a proxy for scale, not a price signal.

Span of control carries roughly 51× its unique information; company revenue about 28×. Benchmarking a role to “a 20,000-person company” is benchmarking to the wrong number.

OLS on the natural log of base salary, n=235, R² = 0.47, HC3 robust standard errors. These are associations in observational survey data, not causal effects. A factor ranking high carries information about pay; it does not follow that changing it would change pay.

02 · SPAN OF CONTROL

The strongest single factor

+53%

Median base for executives managing 100+ people, against those managing 1–5

9.1%

Unique explanatory power of span of control — the highest of any factor

5.0%

Company revenue, the second strongest

COMPENSATION BY NUMBER OF REPORTS MANAGED

Reports managed
n
Median base
Median total cash
1–5
26
$247,500
$326,327
6–15
47
$270,000
$360,000
16–30
37
$295,000
$350,000
31–50
32
$297,500
$392,456
51–100
37
$325,000
$411,038
100+
62
$377,975
$578,954

SVPs are not paid more because they are SVPs. They are paid more because SVP seats in this sample tend to be larger jobs. Where they are not larger — as in the sub-$1B market — the premium disappears entirely.

03 · WHAT TURNS OUT NOT TO MATTER

Reporting line, headcount, work model

01

Reporting line

Ranks seventh of nine. No reporting relationship carries a meaningful adjusted difference. Descriptively it looks worse still — the reports-to-CEO group posts the lowest median base of any reporting line at $255K, because those seats skew to smaller organizations.

02

Company headcount

Eighth of nine. Meaningful on its own (8.7%), near zero once revenue and span are known (0.2%).

03

Work arrangement

Last of nine. The raw on-site premium of $25K does not survive controls — the adjusted difference is inside the noise. On-site executives work at bigger companies.

04 · WHERE RAW AND ADJUSTED DISAGREE

Two views, published together

Descriptive medians and scope-adjusted models answer different questions, and on several findings they disagree. Our editorial standard for this edition is to publish both and explain the difference rather than picking whichever produces the stronger headline.

Are women paid more in comparable seats?

DESCRIPTIVE

Pooled, +3%. Private sector only, +5%. By level the direction flips: women lead by $37.5K at VP, level at SVP/EVP, $20K behind in the C-suite.

SCOPE-ADJUSTED

Between +9% and +12% on base depending on specification. Significant in a sparse model, not significant under the full one (p = 0.20). A 13–18% premium does not reproduce at any specification we tested.

WHAT WE PUBLISH

We publish the level split and the sensitivity, state that the estimate is positive but not robust, and attach no causal story to it.

Do public companies pay less for the same seat?

DESCRIPTIVE

No visible difference. Within revenue band, public and late-stage private sit within a few percent in all three bands.

SCOPE-ADJUSTED

About -11.0% (p = 0.06) — marginal.

WHAT WE PUBLISH

Lead with the pay mix, which is unambiguous: late-stage private grants run 0.93× base against 0.58× at public companies.

Is a competing offer worth about 10%?

DESCRIPTIVE

No difference at all. Median base is $300K with none, one, or several offers.

SCOPE-ADJUSTED

+6.8% on base (p = 0.27) and +10.5% on total cash (p = 0.17). Negotiating shows a similar-sized, similarly insignificant effect on the same test.

WHAT WE PUBLISH

We cannot separate leverage from the act of asking at this sample size, so we make no recommendation and show both point estimates.

Has AI scope been repriced?

DESCRIPTIVE

Executives whose scope expanded significantly report a lower median base than those reporting no change — though that group is small (n=18) and skews senior.

SCOPE-ADJUSTED

+8.6% on base (p = 0.15) and +12.1% on total cash (p = 0.11). Directionally positive, not reliable.

WHAT WE PUBLISH

AI scope is not yet consistently priced. Neither “rewarded” nor “penalised” is supported.

GET THE FULL REPORT

The complete PDF — every table, every percentile.

The full 2026 Data & AI Executive Compensation Report includes segment tables by title, industry, region, company size, and work model — the same benchmarks we bring to every retained search. Request a copy, or talk to us about pressure-testing an offer or a leadership pay band.

Download The Full Report

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