Richemont Data & AI Governance Engineer

Richemont is a leading luxury goods group comprising distinguished maisons across jewellery, watches, leather goods and writing instruments. As an employer, Richemont combines heritage craftsmanship with contemporary digital transformation initiatives across its brands and benefits from an international footprint and a collaborative, brand-driven organisational structure.

1. Design, implement and operationalize enterprise-wide data and AI governance frameworks, policies and standards tailored to luxury retail and product domains.
2. Define metadata, lineage and stewardship practices and integrate them into data catalogs and metadata management platforms.
3. Establish model risk-management processes: model inventory, risk assessment, documentation, validation and monitoring for production ML/AI systems.
4. Collaborate with data engineering, ML teams and legal/compliance to ensure GDPR and sector-specific regulatory adherence.
5. Specify and deploy technical controls for data quality, access management, lineage and versioning across cloud and on‑prem platforms.
6. Select, configure and integrate governance tooling (catalogs, policy engines, observability) and drive adoption through training and documentation.
7. Develop KPIs and dashboards to monitor data/AI governance posture and report to cross-functional stakeholders and governance committees.

1. Bachelor’s degree in Computer Science, Data Science, Engineering or a related discipline; Master’s preferred.
2. Proven knowledge of data governance frameworks and AI ethics/governance principles; familiarity with GDPR and other data protection regimes.
3. Experience implementing metadata management, data cataloguing and model governance processes in an enterprise environment.
4. Strong stakeholder management and ability to translate governance requirements into technical specifications and implementation roadmaps.
5. Professional certifications (e.g., CDMP, DAMA, Responsible AI/ML governance) are advantageous.

1. SQL
2. Python
3. Collibra
4. Alation
5. Apache Atlas
6. Great Expectations
7. dbt
8. Apache Airflow
9. AWS
10. Azure
11. GCP
12. Git

Mid-level experience: typically 3+ years in data governance, data engineering, ML/AI operations or a closely related discipline, with hands-on delivery of governance controls and tooling in an enterprise setting.

Bachelor’s degree in Computer Science, Data Science, Engineering or a related field; Master’s degree preferred.

Richemont blends heritage craftsmanship with a progressive digital agenda; teams are brand-oriented, collaborative and international. The culture values discretion, attention to detail and cross-disciplinary partnership between creative, commercial and technical functions.