Home › Companies › Ommax › Director AI Governance (m/f/d)
Director AI Governance (m/f/d)
Ommax · München · Hybrid · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Ommax |
| Title | Director AI Governance (m/f/d) |
| Normalized title | - |
| Department / team | Data & AI / Festangestellte |
| Location | München |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-03-27 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ommax. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data & AI. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ommax |
| Source | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| ATS provider | Personio |
Description
What we look for:
You define and operationalize AI governance frameworks across policy, risk, security, oversight, and accountability for generative AI, machine learning, and agentic AI use cases. You advise clients on how to scale AI across functions without creating unmanaged security, privacy, compliance, or reputational risk. You design practical guardrails for AI adoption, including use-case classification, review processes, control gates, human oversight, monitoring, and escalation paths. You shape governance for agentic AI and autonomous workflows by defining approval thresholds, delegation boundaries, intervention rules, and auditability requirements. You work closely with senior client stakeholders across business, legal, IT, security, data, and product teams to align governance with business value and delivery speed. You translate regulatory and industry requirements into actionable policies, operating models, and implementation roadmaps. You lead governance boards, risk reviews, and cross-functional decision forums for high-impact AI initiatives. You help develop OMMAX’s AI governance and responsible AI offering further, contributing to client development, thought leadership, and senior-level growth discussions.
What we require:
You have 8+ years of experience in AI governance, technology risk, cybersecurity, data governance, model risk, privacy, or a closely related field, including meaningful leadership exposure. You understand key AI risk domains, including security, privacy, bias, explainability, third-party risk, model lifecycle controls, and human oversight. You have experience designing governance policies, control frameworks, and operating models for enterprise AI environments. You can bridge strategic, regulatory, and technical topics and turn complex governance questions into pragmatic business decisions. You communicate clearly with executive, legal, technical, and operational stakeholders and build trust across functions. You bring a structured, commercially minded, and hands-on working style. You are fluent in English.
What you can expect:
Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, Berlin, Hamburg, London, Milan and Amsterdam. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, an exclusive Wellpass membership as well as mobility and meal allowances and a wide range of other company benefits.
Full job record
| Job ID | f3133b4dc14606bef9cfd415720e3cb57377529c |
| Org ID | 619271f3-9f71-45d8-8be0-e1e4ab92e8d8 |
| Source ID | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| Board ID | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| Provider | personio |
| Provider Job Key | 2579436 |
| Title | Director AI Governance (m/f/d) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | München |
| Department | Data & AI |
| Team | Festangestellte |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | München |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ommax.jobs.personio.de/job/2579436?language=en |
| Apply URL | https://ommax.jobs.personio.de/job/2579436?language=en |
| First Seen At | 2026-05-30 05:59:02Z |
| Last Seen At | 2026-06-06 08:00:07Z |
| Last Checked At | 2026-06-06 08:00:07Z |
| Last Changed At | 2026-05-30 05:59:02Z |
| Inactive At | — |
| Source Posted At | 2026-03-27 18:25:41Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=ommax.de/date=2026-06-06/2026-06-06T08-00-06-919Z-de610426cbcfcb61c9bef48129a978b59d3391f44f9fe47470249ca46e6cd1c8.json |
Event Fields
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