AI governance jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-20, AI governance appears in 1,248 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning AI governance, with demand share up 19.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-20

Postings · last 90 days
1,248
Demand vs prior month
up 19.5% vs the prior 4 weeks
Top role · 4.6% of skill postings
Top hiring metro
London

Which roles want AI governance?

Upload your resume and Skillenai will show which roles your AI governance experience fits, which skills you already cover, and what is missing.

Frequently asked questions about AI governance

+Is AI governance in demand in 2026?

Yes. AI governance appears in 1,248 job postings indexed by Skillenai over the 90 days ending 2026-10-20. Product Manager accounts for the most postings mentioning AI governance (4.6% of all postings mentioning AI governance).

+What jobs require AI governance?

According to the Skillenai jobs index over the 90 days ending 2026-10-20, among roles with at least 20 postings, the highest shares mentioning AI governance are AI Governance Lead (66.7% of that role’s postings mention AI governance), Data Governance Manager (36.4% of that role’s postings mention AI governance), AI Enablement Specialist (30.0% of that role’s postings mention AI governance).

+What skills are commonly paired with AI governance?

Across job postings indexed by Skillenai (90 days ending 2026-10-20), AI governance most often appears alongside responsible AI, Generative AI, machine learning, data governance, Risk Management.

+Where is AI governance most in demand?

As of 2026-10-20, the metro areas posting the most jobs requiring AI governance are London, New York City, Bengaluru, San Francisco, Toronto, according to the Skillenai jobs index.

+How can I keep up with new AI governance content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning AI governance alongside the jobs index. You can subscribe to a daily email digest of new AI governance content from your Skillenai account.

+Which skills come before and after AI governance?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring AI governance — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around AI governance

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before AI governance

Before AI governanceGoogle Data Studio → AI governance: 1 observed employer moves with this skill pairPower BI → AI governance: 1 observed employer moves with this skill pairsql → AI governance: 1 observed employer moves with this skill pairExcel → AI governance: 1 observed employer moves with this skill pairAI governanceGoogle Data Studio: 1 movesGoogle Data Studio1 movesPower BI: 1 movesPower BI1 movessql: 1 movessql1 movesExcel: 1 movesExcel1 moves

Skills after AI governance

No published outgoing skill pairs yet.

How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: Google Data Studio1
Before: Power BI1
Before: sql1
Before: Excel1

Roles most likely to require AI governance

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Governance Lead1666.7%
Data Governance Manager836.4%
AI Enablement Specialist630.0%
AI Transformation Manager722.6%
AI Transformation Director417.4%
Chief Information Security Officer (CISO)416.0%
AI Strategist615.8%
AI Enablement Lead415.4%
AI Analyst413.8%
AI Lead313.6%

Roles with the most AI governance postings

RolePostings mentioning skillShare of skill postings
Product Manager574.6%
AI Engineer393.1%
AI Architect231.8%
Program Manager221.8%
Solutions Architect181.4%
AI Governance Lead161.3%
Software Engineer151.2%
Technical Program Manager151.2%
AI Governance Specialist131.0%
Data Scientist131.0%

Top companies posting jobs requiring AI governance

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring AI governance
CompanyPostings · 90 days
Capco23
Allianz16
OneTrust16
ServiceNow15
Accenture14
PwC12
Mastercard11
Netcompany11
State Street11
Gitlab11

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for AI governance

NamePostingsShare
London433.4%
New York City403.2%
Bengaluru282.2%
San Francisco241.9%
Toronto241.9%
Chicago191.5%
Boston171.4%
Singapore141.1%
Sydney131.0%

Skills commonly paired with AI governance

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-20. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning AI governance by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI governance postings by all AI governance postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.4% to 0.5%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,610 identified employers and covers 72% of earlier and 73% of latest indexed postings. Windows: 2026-06-23 to 2026-09-21 and 2026-07-21 to 2026-10-19 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
d5a201137a759c36
data_as_of
2026-10-20
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index