Drimva

Nebius

IT Risks & Control Manager

Berlin, Germany +6 · Remote · Manager · Full-time · Posted Jul 30, 2026

Location
Berlin, Germany
Prague, Czech Republic
Germany
Netherlands
Remote - United States
Spain
United Kingdom
Experience
At least eight years; no stated alternative.
Education
Degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related discipline, or equivalent professional experience.
Visa sponsorship
Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.

About the job

Acts as an embedded risk partner to engineering and technology teams, strengthening IT SOX and controls across Nebius’s AI cloud platform and systems supporting financial reporting.

What you'll do

  • Own and improve IT risk and control frameworks, including system scoping, risk assessments, control documentation, and ownership.
  • Lead IT SOX readiness, testing coordination, evidence review, issue evaluation, and remediation.
  • Partner with engineering, Finance, and auditors to design scalable controls and address technology risks.

What they ask for

  • At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit, or a closely related area.
  • Meaningful in-house technology or corporate ownership experience; exclusively advisory or external-audit experience is insufficient.
  • Experience in an engineering-led technology, cloud, SaaS, platform, or digital-product environment.
  • Practical knowledge of SOX 404, ITGCs, application and automated controls, COSO, COBIT, and modern technology environments.

Nice to have

  • Professional certification such as CISA, CRISC, CISM, CIA, CPA, or equivalent.
  • Experience building IT SOX frameworks, control automation, continuous monitoring, data analytics, or AI-assisted assurance.

Tools

Kubernetes, Workiva, Jira, ServiceNow GRC, NetSuite, CI/CD, DevOps, COSO

AI focus

Use data analytics, automation, continuous monitoring, and AI-assisted tools to improve IT SOX controls; bonus experience includes AI governance and AI/ML control environments.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)