Hermès Data Product Manager Analytics & AI
- Location
- PantinÎle-de-FranceFrance
- Employment
- Full-Time
- Seniority
- Mid-Level
- Department
- IT & Technology Systems
- Posted
- May 28, 2026
About %s
Hermès is a storied French luxury maison renowned for its exceptional craftsmanship, timeless design, and commitment to heritage. Operating across the full spectrum of ultra-premium goods—from iconic leather goods and silk scarves to jewellery, watches, and fragrances—Hermès maintains a vertically integrated model that emphasizes quality control and artisanal excellence. The company's Information Systems division is advancing data and artificial intelligence capabilities to drive digital transformation across the business, positioning Hermès at the forefront of luxury retail innovation.
Hermès seeks Data Product Manager Analytics & AI in Pantin, France. Lead data product strategy and delivery for retail operations within a luxury transformation initiative. Full-time CDI role.
Role & Responsibilities
- Lead product vision and strategy for analytics and AI solutions within the Retail vertical, ensuring alignment with enterprise data transformation objectives
- Identify, qualify, and prioritize high-impact business problems through structured engagement with retail stakeholders and cross-functional teams
- Develop and maintain a comprehensive product roadmap balancing innovation, continuous improvement, and industrialization requirements
- Define product objectives, business value KPIs, and adoption metrics; track performance against established benchmarks
- Animate and manage product backlogs; draft user stories in collaboration with business and technical stakeholders
- Coordinate multidisciplinary squads comprising Data Analysts, Analytics Engineers, Data Engineers, and ML Engineers
- Oversee testing, business validation, and production deployment phases; ensure alignment with architecture, security, privacy, and Data Foundation teams
- Define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs) for all data products
- Lead incident management and post-mortem analyses for production incidents
- Implement monitoring, alerting, and data quality assurance mechanisms to guarantee reliability and accuracy
- Track AI model performance including drift detection, explainability, retraining requirements, and regulatory compliance (GDPR, AI Act)
- Measure business impact of deployed solutions; communicate results to stakeholders and sponsors
- Facilitate business adoption of analytics tools and data-driven practices through training and change management
- Host governance forums including sprint reviews, roadmap reviews, and value assessment sessions
Qualifications
- Minimum 5 years of professional experience, including at least 3 years in Product Management or Product Ownership for data, analytics, or AI products
- Proven track record managing production data products with performance, reliability, and adoption objectives
- Proficiency in Agile environments and operational run management (SLA/SLO, incident response, ITIL)
- Strong understanding of business context and retail dynamics
- Solid data culture foundation: data lakes, data warehouses, ETL/ELT pipelines, cloud architectures
- Competency with analytics and AI concepts: machine learning, MLOps, performance metrics, explainability
- Technical acumen to challenge data models, APIs, SQL, and functional testing approaches
- Awareness of data governance and AI ethics regulations including GDPR and the EU AI Act
Skills
Experience
The candidate should bring at least 5 years of professional experience in technology or data-driven environments, with a minimum of 3 years specifically in Product Management or Product Ownership roles focused on data, analytics, or AI solutions. Prior experience managing production systems with explicit performance, reliability, and user adoption requirements is essential. Demonstrated familiarity with Agile delivery frameworks and operational management disciplines, including SLA/SLO definition and incident response protocols, is required.
Education
Not specified; however, a university degree in computer science, data science, business administration, engineering, or a related quantitative field is typically expected for this role level.
Workplace
This position is based in Pantin, Île-de-France, France, within easy reach of Paris.
Culture
The role operates within a data analytics and AI directorate undergoing rapid transformation in service of Hermès' luxury retail operations. The environment emphasizes agile collaboration, cross-functional partnership, and evidence-driven decision-making. The candidate will work alongside technically accomplished teams in a dynamic, innovation-focused setting where data and artificial intelligence drive strategic competitive advantage for one of the world's most prestigious luxury brands.
About %s
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 Manager Data Solutions», «Analytics & AI Product Owner», «Data Platform Product Manager», «AI Solutions Product Lead», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.