Reference code: JR133845
Richemont, l’un des leaders mondiaux dans le secteur du luxe, possède différentes Maisons spécialisées dans la joaillerie, l’horlogerie et les accessoires haut de gamme. Chaque Maison incarne fièrement une tradition de style, de qualité et d’artisanat et Richemont s’efforce de préserver l’héritage et l’identité propres à chacune d’elle. Dans le même temps, nous nous engageons à innover et à concevoir de nouveaux produits en accord avec les valeurs de nos Maisons, à travers un processus de créativité permanente.
MAIN PURPOSE
This position leads data utilization and AI adoption in Japan. The role translates business needs into trusted, reusable data products and manages the full lifecycle from planning and design through delivery, adoption, and continuous improvement.
KEY RESPONSIBILITIES
Data Products & Analytics
• Translate business needs into data product plans, designs, and deliverables
• Standardize key business metrics and data definitions to establish trusted data foundations
• Develop scalable, reusable, and maintainable data models and analytics solutions
Data Architecture & Integration
• Design data integration across CRM, marketing, cloud data warehouse, and BI environments
• Ensure the quality and consistency of data models, transformation logic, and semantic layers
• Promote the reuse of existing data assets and standard delivery patterns
Governance, Quality & Delivery
• Establish practical standards for data quality, access, security, and privacy
• Manage priorities, dependencies, risks, and delivery quality across data initiatives
• Support documentation, quality assurance, and effective transition into ongoing operations
Adoption & Collaboration
• Promote adoption through training, onboarding, and usage monitoring
• Collaborate with business functions, technical teams, global and regional teams, and external partners
• Coach team members and transfer knowledge to strengthen internal data capabilities
COMPETENCIES AND EXPERIENCES
• Six or more years of experience in data, analytics, data engineering, or a related field, or equivalent practical experience
• Strong hands-on experience in data modelling and SQL
• Experience delivering solutions using cloud data warehouses, transformation tools, and BI or semantic-layer technologies
• Experience translating business needs into scalable data solutions
• Experience leading cross-functional initiatives
• Knowledge of data governance, quality, access management, and security
• Experience with BigQuery, dbt, Looker, or comparable platforms is preferred
• Business-level English and native-level Japanese
• Bachelor's degree in a relevant field or equivalent experience
