Senior Responsible AI Leader & Governance Architect

Everience Benelux

Den Haag

On-site

EUR 140,000 - 190,000

Full time

6 days ago
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Job summary

Everience Benelux is seeking an experienced Responsible AI Lead to shape and operationalize responsible AI practices across a large, complex enterprise. You will translate principles into practical standards, controls, and ways of working that enable safe and responsible AI adoption.

You will work with AI, technology, risk, legal, governance, and business stakeholders to embed Responsible AI throughout the lifecycle, assess use cases, and help establish a governance framework for responsible

Qualifications

  • 8-12+ years experience in AI/ML, data science, AI governance, model risk, technology risk, or a related field.
  • Strong experience assessing AI risks and advising on responsible AI practices.
  • Experience with fairness, bias, transparency, explainability, accountability, and AI safety.
  • Experience translating policies, principles, and regulatory requirements into practical controls and processes.
  • Experience working with senior stakeholders and influencing enterprise-level decisions.

Responsibilities

  • Embed Responsible AI principles throughout the AI lifecycle and assess AI use cases.
  • Advise stakeholders on risks and mitigation measures; help establish a governance framework.
  • Lead reviews for high-risk, business-critical, and complex AI solutions; act as AI Steward.
  • Collaborate with Legal, Risk, Governance, and Business to operationalize requirements.
  • Monitor developments in AI regulation and translate into practical enterprise controls.
  • Develop playbooks, guidance, and training to promote responsible AI adoption.

Skills

Responsible AI
AI risk management
Stakeholder management
Regulatory compliance
AI ethics
Fairness
Explainability
Risk assessment

Job description

Everience Benelux is seeking an experienced Responsible AI Lead to shape and operationalize responsible AI practices across a large, complex enterprise. You will translate principles into practical standards, controls, and ways of working that enable safe and responsible AI adoption.

You will work with AI, technology, risk, legal, governance, and business stakeholders to embed Responsible AI throughout the lifecycle, assess use cases, and help establish a governance framework for responsible

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