Hermès Data Manager — 4C
- Location
- Employment
- Full-Time
- Seniority
- Senior
- Department
- IT & Technology Systems
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Apr 23, 2026
About Hermès
Hermès Sellier is the maison Hermès, internationally recognised for exceptional craftsmanship in leather goods, fashion and accessories. The organisation combines artisanal savoir‑faire with modern retail and digital infrastructures and maintains a strong focus on product, image and creativity across its global network.
Hermès Sellier is hiring a Data Manager — 4C in Pantin, France to lead BI, data governance and analytics for Creation, Collection, Commercial and Communication.
Role & Responsibilities
- Define and embody the Data strategy and vision for the 4C direction (Creation, Collection, Commercial, Communication).
- Design, prioritise and drive the BI & Data roadmap in close collaboration with Hermès métiers, commercial teams and HDTI Data & IA teams.
- Coordinate stakeholders across Studios de Création, Merchandising, Commercial and Communication to translate business needs into data deliverables.
- Ensure data coherence and governance within the pole: data quality, unified KPIs, common calculation methods and shared reporting standards.
- Gather and consolidate requirements from multiple internal actors and validate the pertinence of KPIs and reports.
- Valorise existing data to produce actionable insights addressing product and merchandising challenges.
- Identify impacts and opportunities from emerging trends (AI, Generative AI) and advise on their operational adoption.
- Present findings and roadmaps clearly and pedagogically to both business and IT audiences to ensure adoption and appropriation.
Qualifications
- Master's degree (Bac+5) from an engineering school, business school or university.
- Minimum 6 years' professional experience in BI, data or analytics roles, ideally in a retail or product-driven environment.
- Functional profile comfortable in technical environments with proven experience working alongside IT teams.
- Strong knowledge of data governance, KPI design, reporting and data quality practices.
- Fluent English (written and spoken); strong presentation and stakeholder management skills.
- Interest or experience in merchandising and product processes is highly desirable.
Skills
Experience
At least 6 years of progressive experience in BI, data management or analytics roles, with demonstrable exposure to cross‑functional programmes (product/merchandising/commerce) and collaboration with IT/Data teams.
Education
Master's degree (Bac+5) — engineering school, business school or university.
Workplace
This position is based in Pantin, Île-de-France, France, within easy reach of Paris.
Culture
Hermès combines a deep respect for artisanal craft with selective investment in technology and digital capabilities. The working environment favours cross‑disciplinary collaboration, preservation of creative freedom and rigorous attention to product and brand image while encouraging innovation in data and analytics.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Hermès, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Product Data Manager», «BI & Data Manager», «Data Governance Manager», «Data & Analytics Manager», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.