Head of AI Operations
RoleAI Operations Lead · AI Program Manager · AI Manager
Ultimately accountable for keeping deployed AI running in production, and for making sure someone answers when it stops. Defined by operational accountability rather than org-chart position: validates, releases, monitors, responds to incidents and iterates.
The function exists before the title does. In practice, the Head of AI Operations is whoever signs off that an agent can go live, decides which autonomy level it runs at, answers for quality week to week, and switches the system off when that is the call. The market names it with poorly delimited, frequently interchangeable labels: AI Operations Lead, AI Program Manager, AI Strategy Lead, AI Manager. None of them describes what is being supervised. The delimitation Implementa proposes — the function is defined by operational accountability over live systems, not by job title or seniority — is our own editorial formulation, not an industry consensus. This role's salary range is country-dependent and is not published here: it lives in the per-country dataset.
How it differs from
- AI Governance Manager
- Governance sets the framework and answers to the regulator; operations answers for the system working today.
- MLOps Engineer
- MLOps is the technical deployment pipeline; AI Operations is accountability for the business outcome.
Examples
- Whoever decides if the collections agent moves from suggesting to executing below a threshold.
- Whoever gets the alert when escalation rate climbs three points after a model swap.
FAQ
- Is it a technical role?
- It is an operational accountability role with enough technical judgement. It can come from Operations or Engineering; what it cannot do is never have operated anything.
- Does the title have to exist for the function to exist?
- No, and that is the problem: in most companies the function already exists, split across three people none of whom answer for it.
Related terms
Autonoly — AI Operations Manager (glossary) · 2026-09-28 · E3