Data & Ai Compliance Analyst

Randstad España·Sant Cugat del Vallès

Qué ofrecen

  • Contrato indefinido

    Jornada completa.

Qué piden

  • Trabajo en inglés

    Se requiere inglés, según la oferta.

  • Trabajes presencialmente en Sant Cugat del Vallès

    No se menciona ninguna ayuda para la mudanza.

  • Tengas 5+ años de experiencia

    Puesto de nivel Senior.

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Requisitos

Education

- Bachelor’s or Master’s in: o Computer Science, Data Science, Engineering, OR o Law, Compliance, Risk Management, Public Policy

Experience

- 5–10 years in one or more of the following: o Compliance / Risk Management o Data governance or privacy o Cybersecurity o Devsecops o Data governance and data analytics

- At least 3 years in: o Artificial Intelligence. Governance and/or delivery

- Exposure to regulated environments (financial services, healthcare, industrial, etc.) is preferred

Oferta original

Our client is a global leader in Testing, Inspection and Certification (TIC), delivering high quality services to help clients meet the growing challenges of quality, safety, environmental protection, and social responsibility.
We are hiring a Data & AI Compliance Analyst to join the Global Security Team.

The AI Compliance Analyst supports the design, implementation, and operation of the organization's Data & AI governance and compliance framework. The role ensures that artificial intelligence systems are developed, procured, deployed, and operated in alignment with applicable regulations (e.g., EU AI Act), internal policies, and ethical standards. This position operates at the intersection of compliance, data/AI, and business, translating regulatory requirements into actionable controls and supporting monitoring activities across the AI lifecycle.

1. AI Governance & Framework Support

- Support the implementation and maintenance of the AI governance framework aligned with standards such as: o EU AI Act o NIST AI Risk Management Framework (AI RMF) o ISO/IEC 42001

- Maintain AI policies, procedures, and internal standards (e.g., acceptable use, human oversight, risk classification)

2. Risk & Compliance Assessment

- Perform AI risk assessments prior to deployment: o Risk classification (e.g., high-risk vs low-risk AI use cases)

Bias, fairness, transparency, and explainability checks

- Support third-party/vendor AI assessments, working with Procurement and TPRM teams

- Contribute to Data Protection Impact Assessments (DPIAs) where AI is involved

3. AI System Inventory & Documentation

- Maintain the AI systems inventory and risk register

- Ensure completeness of: o Model documentation (model cards, system descriptions) o Data lineage and consent traceability

- Track compliance evidence for audits and regulatory reviews

4. Monitoring & Controls

- Support ongoing monitoring of AI systems for: o Model drift and performance degradation o Bias/fairness metrics deviations

- Assist in defining and tracking Key Risk Indicators (KRIs) for AI systems

5. Regulatory & Policy Alignment

- Monitor emerging AI regulations and standards and assess applicability

- Collaborate with Legal and Compliance teams to translate regulations into operational controls

- Contribute to internal guidance and awareness materials

6. Incident & Issue Management

- Support investigation and documentation of AI-related incidents or risks

- Assist with remediation tracking and reporting

- Contribute to regulatory reporting if applicable

7. Training & Awareness

- Support delivery of AI compliance and ethics training

- Promote awareness across business, engineering, and product teams

Education

- Bachelor's or Master's in: o Computer Science, Data Science, Engineering, OR o Law, Compliance, Risk Management, Public Policy

Experience

- 5-10 years in one or more of the following: o Compliance / Risk Management o Data governance or privacy o Cybersecurity o Devsecops o Data governance and data analytics

- At least 3 years in: o Artificial Intelligence. Governance and/or delivery

- Exposure to regulated environments (financial services, healthcare, industrial, etc.) is preferred

Sobre la empresa

Randstad España

Randstad España

Staffing

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