Audemars Piguet Data Governance and Quality Manager

A distinguished Swiss luxury watch manufacturer based in Le Brassus and operating within the international luxury sector. The employer marries artisanal watchmaking heritage with sophisticated digital and IT capabilities to support product excellence, global distribution and regulatory compliance.

1. Design, implement and maintain the enterprise data governance framework, policies and standards to ensure data integrity across product, customer and operational domains.
2. Establish and run a data stewardship programme, defining roles, responsibilities and escalation paths for data owners and stewards across business functions.
3. Define data quality KPIs, lead data profiling and remediation efforts, and implement continuous monitoring to drive measurable improvement.
4. Lead selection, configuration and deployment of data governance and data quality tools (data catalog, MDM, DQ platforms) in collaboration with IT.
5. Coordinate cross‑functional governance forums and act as the primary liaison between business stakeholders, IT and external partners.
6. Manage data lineage, metadata management and master data processes to support reporting, compliance (including privacy) and downstream systems.
7. Develop training, documentation and change management materials to embed governance best practices into daily operations.

1. Bachelor’s or master’s degree in Information Systems, Computer Science, Data Science, Engineering or a related discipline.
2. Certifications or formal training in data governance, data management or related frameworks (e.g., DAMA, DGSP) are strongly preferred.
3. Demonstrable ability to influence senior stakeholders and to coordinate cross‑functional programmes in complex international organisations.
4. Strong analytical mindset with experience in defining KPIs, managing data quality remediation and presenting insight to leadership.
5. Excellent communication skills in English; proficiency in French is desirable given the Swiss‑Romande location.

1. Data governance framework design (DAMA‑DMBOK)
2. Master Data Management (MDM) — implementation and operating models
3. Data quality tooling and profiling (e.g., Informatica Data Quality, Talend, Trifacta)
4. Data catalog / governance platforms (e.g., Collibra, Alation)
5. SQL for data profiling and remediation
6. Metadata management and data lineage tools
7. Power BI or similar BI tools for KPI dashboards
8. Project management and stakeholder engagement

Approximately 5+ years of progressive experience in data governance, data quality or master data management roles, including proven delivery of governance programmes and tool implementations in a multi‑national environment.

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

The workplace culture blends meticulous Swiss craftsmanship with a disciplined, data‑driven approach. Teams value precision, cross‑disciplinary collaboration and continuous improvement, operating within a global luxury environment that demands high standards and discretion.