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Senior Data Governance & AI Transformation Manager

eXalt

Join eXalt, a leading consulting firm in data excellence and AI transformation. As a Senior Data Governance & AI Transformation Manager, you will be responsible for evolving traditional data governance into a proactive, AI-ready framework. You will ensure that the data consumed and generated by AI systems is governed, secure, and compliant with the EU AI Act.

About eXalt

  • Data-Driven DNA: Join a community where "Data as an Asset" isn't a buzzword but a core consulting principle.
  • The Power of 4 Tribunals: Collaborate with our specialized tribes: eXalt Value (Data/AI), Shield (Cybersecurity), and Tech (Infrastructure).
  • Growth & Autonomy: A flat hierarchy where your expertise in shaping the AI-Ready Data organization is recognized at the C-level.

Responsibilities

  • Your mission will involve defining data governance policies for AI training, evaluating AI use cases based on data readiness and risk, implementing AI-driven tools for automated data governance, and leading the organization's posture on Responsible AI.
  • Définir et posséder les politiques de gouvernance des données spécifiquement pour les systèmes d'entraînement à l'IA.
  • Évaluer les cas d'utilisation de l'IA en fonction de la préparation des données et du risque, avec l'autorité de bloquer un projet si nécessaire.
  • Mettre en œuvre des outils pilotés par l'IA pour automatiser les tâches de gouvernance des données, y compris le marquage et la classification automatisés des données.

Requirements

  • You are a Data Governance veteran who understands that the "Data-Information-Decision" chain is now being accelerated by AI.
  • Experience: 7+ years in Data Governance, Master Data Management (MDM), or Data Quality, with a clear focus on high-impact transformation programs.
  • Regulatory & Ethics Expertise: Deep knowledge of GDPR and the EU AI Act. You can translate legal requirements into data architecture constraints.
  • Authority & Leadership: Ability to stand your ground against business pressure to ensure ethical and compliant data usage.
  • Tools & Frameworks: Proficiency with Data Governance tools (Collibra, Informatica, Alation) and Agile methodologies.
  • Languages: Trilingual environment – Proficiency in English and professional mastery of French or Dutch.

Preferred

  • AI Data Literacy: Strong understanding of how data flows through AI architectures (Vector DBs, Embeddings, Fine-tuning). You know that "Garbage In, Garbage Out" is the ultimate risk in AI.