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Where to Find Head of AI Governance Hybrid Jobs in 2026
This is one of the hardest senior jobs in the market to search for, and the reason is not that there are few of them. It is that hardly anybody advertises it under the name people search for.
On this board right now: 12 Head of AI Governance and equivalent openings, 2 of them hybrid. See all of them.
The title problem, which is the whole problem
Search the exact phrase Head of AI Governance and you will see a handful of jobs. Search the work instead and you will find a market. The same remit, the person who owns the model inventory, the use-case intake and review process, risk classification and control monitoring, gets posted as:
- Director of AI Governance
- VP of Responsible AI, or Head of Responsible AI
- Head of Model Risk, or Director of Model Risk Management
- AI Governance Lead, or AI Risk Lead
- Director of AI Assurance
- Head of AI Policy
- Director of GRC, with the AI remit three paragraphs down
That last one is the trap. A great many of these jobs are advertised under a generic governance title and only reveal themselves in the body of the posting, which means keyword search on a general job site will never surface them for you.
Why hybrid, and what hybrid actually means here
This job is unusually social for a governance role. It runs review boards, it chairs committees, and it spends a great deal of its time getting engineers, lawyers, product managers and risk people to agree on something none of them fully own. Most organizations still want a meaningful part of that happening in a room, which is why hybrid dominates.
What hybrid means in practice is rarely stated in the posting. Usually it is two or three days on site, arranged around whichever day the governance or risk committee sits. Ask in the first conversation which days are fixed, and whether they are fixed for everyone or only for you. A role with one immovable committee day is a completely different life from one with three flexible days, and both get advertised with the same word.
Where to actually look
A specialist board first. The reason is the title problem above. A board built for this field gathers the role under every name employers use and shows the work arrangement on each job, so you are not opening twenty tabs to find out whether something is hybrid.
Company career pages second, and be specific about which companies. The four groups hiring are AI labs and model developers, regulated enterprises in finance, insurance and healthcare, large software and cloud companies answering their enterprise customers' AI questions, and public sector bodies setting policy for their own adoption. The regulated enterprises hire the most and describe it the least clearly, so they reward direct checking.
Alerts third, and set several. One alert per title variation. This role posts in bursts, and senior hires are often decided from the first week of applicants, so a weekly check is too slow.
What to have ready before you apply
Every serious conversation touches the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act. In financial services, SR 11-7 and existing model risk practice sit underneath all of it. You do not need to have implemented all of them, but you need to be able to say what each is for without reaching for notes.
The thing that actually distinguishes candidates is evidence of turning a framework into controls somebody ran. Policy documents are easy. A working intake process that product teams did not route around is hard, and it is what gets asked about.
Frequently asked questions
Where do I find Head of AI Governance hybrid jobs?
Start with a specialist board that gathers the role under every title employers actually use, then go straight to the career pages of AI labs, banks, insurers, health systems and large software companies. GRC Careers lists Head of AI Governance openings with the work arrangement shown on each job, so hybrid, remote and on-site are visible before you click. General job sites scatter this role across a dozen unrelated titles and rarely tag the arrangement properly.
Why is this job so hard to search for?
Because almost nobody advertises it as Head of AI Governance. The same remit is posted as Director of AI Governance, VP of Responsible AI, Head of Model Risk, AI Risk Lead, Director of AI Assurance, Head of AI Policy, and sometimes just Director of GRC with AI buried in the third paragraph. If you search one string you will see a fraction of the market.
What titles should I search instead?
Search all of these: Head of AI Governance, Director of AI Governance, VP Responsible AI, Head of Responsible AI, AI Governance Lead, Head of Model Risk, Director of Model Risk Management, AI Risk Manager, Director of AI Assurance, Head of AI Policy, and AI Compliance Director. Setting one alert per title finds several times more jobs than a single search.
Is Head of AI Governance usually hybrid?
More often than not, yes. The job runs committees, review boards and challenge sessions with legal, security, product and data science, and most organizations still want that done partly in a room. Fully remote versions exist, particularly at companies that were remote-first before they had an AI governance function at all, but hybrid is the common shape.
What does hybrid actually mean for this role?
It varies and the posting rarely says. In practice it usually means two or three days on site, anchored around whichever day the governance or risk committee meets. Ask in the first conversation which days are fixed and whether they are fixed for the whole team, because a role with one unmovable committee day is a very different commitment from one with three flexible days.
Who is hiring for this in 2026?
Four groups. AI labs and model developers building governance around their own systems. Regulated enterprises in finance, insurance and healthcare extending existing model risk functions to cover generative AI. Large software and cloud companies answering enterprise customer questions about their AI. And increasingly government and public sector bodies setting policy for their own adoption. The regulated enterprises hire the most and advertise the least clearly.
What background do employers expect?
There is no single path and employers know it. People arrive from model risk management, privacy, internal audit, security governance, regulatory compliance, law, and public policy. What is consistently asked for is the ability to turn a framework into controls people actually run, and to hold a room of engineers and lawyers together long enough to agree on something.
Which frameworks come up in the interviews?
The NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act come up in nearly every conversation. In financial services, SR 11-7 and existing model risk practice underpin the whole discussion. Privacy frameworks appear because privacy teams are the most common source of AI governance hires.
Should I set alerts or search manually?
Alerts, and more than one. This role posts in bursts rather than steadily, senior hires are often filled from the first week of applicants, and the title variation means a single saved search will miss most of the market. Several narrow alerts beat one broad one every time.
Does the 2026 part of the search matter?
People add the year because they want current openings rather than an article written three years ago about a field that barely existed then. It is a reasonable instinct. What matters is whether the page you land on shows live jobs with dates on them, which is worth checking before you spend time on any careers article.