Chaumet Data & AI Domain Lead

Chaumet is a historic Parisian maison of fine jewellery, renowned for its craftsmanship and haute-joaillerie heritage and operating within the LVMH group. Based in Place Vendôme, the house combines centuries-old savoir-faire with contemporary ambitions, increasingly emphasising digital activations and modernisation across its retail and client engagement activities.

1. Operationalise the Data, Analytics and AI roadmap in close collaboration with business stakeholders and the IT Directorate, ensuring priorities, dependencies and timelines are rigorously managed.
2. Lead the Data/Analytics/AI governance forum and cultivate proximate relationships with Client, Omnichannel, Operations, Marketing, Sales and Finance teams to capture needs, challenge requests and secure measurable value.
3. Define, implement and enforce data governance (quality, integrity, lineage, security) and data management standards, including compliance with GDPR and coordination with legal, security and compliance functions.
4. Drive the replatforming to the Group solution (GCP), mature the data architecture (ingest, integration, storage, transformation, exposure) and scale platform capabilities to support business growth.
5. Accelerate self-service BI through certified datasets, modelling rules, best practices and adoption support for business users.
6. Sponsor end-to-end project delivery for the Data & AI scope (scoping, planning, specifications, delivery, testing, deployment and transition to run), combining hands-on contribution with vendor orchestration.
7. Ensure run operations and service levels for Data/Analytics/AI applications (availability, performance, data quality, processing times and support) and establish robust incident, change and documentation processes.
8. Manage and develop the Data/BI team (internal and external), allocate capacity, steward suppliers (time & materials and fixed-price), and control operational budget and vendor commitments.
9. Identify, frame and industrialise AI/ML use cases with demonstrable ROI; promote advanced analytics and translate complex analyses into actionable recommendations.
10. Contribute to international roll-outs and adapt solutions to new countries, organisational changes or evolving business models while promoting a transverse data community to harmonise practices.

1. Engineering school, business school or equivalent university degree.
2. Minimum 10 years of professional experience in information systems with a significant focus on Data and BI.
3. Proven experience managing multidisciplinary teams and external vendors (régie and forfait).
4. Demonstrated track record of delivering Data/Analytics/AI projects end-to-end in a retail or consumer-facing environment.
5. Strong stakeholder management in matrix organisations and the ability to build consensus on priorities and trade-offs.
6. Fluent English (Anglais courant requis).

1. Power BI
2. GCP
3. Dataiku
4. Fivetran
5. SSIS
6. SQL
7. ETL
8. Datavisualization
9. AI/ML
10. EPM
11. GDPR compliance
12. IT project methodology (scoping to production support)

At least 10 years in information systems with substantial responsibility for Data/BI activities, including proven leadership of internal teams and external integrators; prior experience in retail or luxury goods environments is strongly advantageous.

Engineering degree, business school diploma, or equivalent university qualification.

Chaumet blends historic craftsmanship with contemporary innovation, operating within the LVMH ecosystem that fosters cross-Maison collaboration and centres of competence. The working environment values excellence, discretion and a pragmatic, test-and-learn approach to digital and data initiatives.