AI Governance Manager

B2B Freelance Contract

Job Title AI Steward

Start date:- 01/07/2026

End date:- 30/06/2031

Key Responsibilities:

Translate regulatory requirements (AI Act, GDPR, etc.) into technical controls and operational processes.

Contribute to drafting and formalizing AI policies, standards, and guidelines with governance teams.

Implement these policies concretely: templates, technical controls, checklists, and integration into data/ML pipelines across the AI lifecycle (design, development, deployment, monitoring).

Define and implement standardized templates (AI documentation, risk assessments, model cards, logging, monitoring).

Integrate compliance requirements into data and MLOps platforms (data quality checks, model registry, audit logs, monitoring).

Ensure traceability and auditability of AI systems (documentation, logging, lineage).

Set up observability and reporting tools for AI governance.

Support project teams in applying AI standards.

Contribute to identifying and mitigating AI risks (bias, robustness, security, human oversight) using a risk-based approach.

Produce and structure compliance evidence (audit, reporting, controls).

The role aims to enable “AI compliance by design” , scalable and reusable across projects.

Technical Skills Required

Experience in AI governance / data governance / compliance (AI Act, GDPR) – minimum 2 years.

Language requirements:

French or Dutch (C1 – advanced mastery).

Second language (French or Dutch, different from the first) at B1 level.

English at B2 level (upper intermediate).

Ability to translate regulatory requirements into technical solutions and operational processes – minimum 5 years.

Insight into Responsible AI principles (bias, fairness, explainability, risk management) – minimum 2 years.

Experience in setting up standards, templates, or frameworks (documentation, risk, compliance) – minimum 5 years.

Experience in data quality management and dataset validation – minimum 2 years.

Experience in monitoring and observability of AI systems (logs, performance, drift, auditability) – minimum 2 years.

Experience working in cross-functional environments (IT, data, legal, business) – minimum 5 years.

Experience in AI risk management and mitigation measures – minimum 5 years.

Experience drafting and operationalizing AI/data policies – minimum 5 years.

Experience in change management and adoption of AI standards – minimum 5 years.

Experience producing technical and regulatory documentation (AI systems, models, datasets) – minimum 5 years.

Good understanding of data and MLOps environments (ML pipelines, model lifecycle) – minimum 2 years.

Note: Each skill must be explicitly referenced in the consultant’s CV, with page numbers and the organization where it was acquired.