Richemont Data and AI Platform Lead

About Richemont

Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.

Role & Responsibilities

• Lead technical execution of Data and AI initiatives in Japan in alignment with global and regional platforms, architecture, governance and technical standards.
• Translate business requirements into technical requirements and feasible solution designs, and guide prototypes or proofs of concept into production services where appropriate.
• Lead technical architecture and design across data models, pipelines, transformation logic, semantic layers, system integration and AI solutions, ensuring consistency, scalability, maintainability and reuse.
• Maximise the use of global and regional platforms, components, data assets and standard patterns; identify gaps against Japan-specific requirements and develop practical technical solutions.
• Work with technical teams and external partners on technical design and validation to ensure solution quality and feasibility.
• Lead end-to-end delivery of data, analytics and AI initiatives, from technical feasibility and solution design through build, integration, testing, deployment, technical handover and production readiness.
• Design and drive data integration and flows across customer relationship management, marketing, business applications, cloud data platforms, and business intelligence and analytics environments.
• Manage dependencies, technical risks, delivery quality and priorities across technical, global and regional teams and external partners, coordinating resources as required.
• Ensure the consistency and reliability of key performance indicators, data definitions, data models and semantic definitions for data products and analytics solutions.
• Promote reusable components, data assets, common patterns and automation to improve scalability and sustainability.
• Embed data quality, access control, security, privacy, data ownership and technical controls in solutions in line with global and regional policies and standards.
• Work with business stakeholders and data owners to clarify data definitions, ownership, dependencies, quality expectations and validation methods.
• Develop trusted data foundations and reusable data assets for shared use across data, analytics and AI.
• Identify root causes of data quality issues, technical incidents and recurring problems across data, technology and integration, and turn findings into sustainable improvements.
• Ensure technical documentation, quality assurance, knowledge transfer and operational readiness for stable transitions into operations.
• Own Level 2 technical issue resolution, service quality, escalation and operational acceptance for assigned Data and AI platforms and services.
• Coordinate internal, global and regional teams and external partners to resolve technical issues involving data pipelines, data models, integrations, analytics platforms and AI solutions.
• Maintain internal accountability for assigned technical scope, including when delivery is performed by external partners or other teams.
• Analyse incidents, recurring issues and service data, and drive improvements in reliability, data quality, monitoring, automation, documentation and support processes.
• Ensure technical ownership, support models, monitoring, documentation, knowledge transfer and escalation paths are established before new or changed solutions enter production.
• Structure execution plans, priorities, dependencies and resource requirements across business, project and technical teams, global and regional teams, and external partners, and drive delivery.
• Make technical risks, capacity constraints, dependencies and decision points visible; address them within delegated scope and present options and recommendations to senior decision-makers when required.
• Promote knowledge sharing and coaching in data engineering, analytics engineering, AI and architecture to strengthen organisational technical capability.
• Monitor developments in data and AI technologies and engineering practices, and recommend practical opportunities suited to global and regional standards and Japan business needs.
• Lead execution within assigned scope, provide analysis and recommendations, and escalate Japan-wide Data and AI strategy, final investment decisions and budget decisions beyond delegated authority to senior decision-makers.

Qualifications

• Substantial professional experience in data, analytics, data engineering, AI, solution engineering or a related field.
• Experience leading data, analytics or AI solutions from requirements and feasibility through design, build, integration, testing, deployment and production operations.
• Practical knowledge and experience in data modelling, SQL, data pipelines, data transformation and modern data architecture.
• Experience delivering solutions using cloud data platforms, data warehouses or lakehouses, transformation tools, business intelligence or semantic layers, or equivalent technologies.
• Ability to translate business requirements into technical requirements and scalable solutions.
• Ability to drive complex delivery across technical teams, global and regional teams, and external partners.
• Ability to identify root causes of technical incidents, data quality issues and recurring problems and turn them into sustainable improvements.
• Practical understanding of data governance, data quality, access management, security and privacy.
• Technical depth and leadership to engage in technical discussions while leading delivery by engineers and partners.
• Ability to structure complex technical risks, dependencies and decision points and explain them clearly to business and technical stakeholders.
• Business-level English and native-level Japanese.
• Bachelor’s degree or equivalent professional experience.
• Experience with BigQuery, dbt, Looker or equivalent cloud data and analytics technologies.
• Experience implementing and productionising generative AI, AI agents, machine learning or enterprise AI solutions.
• Experience integrating data across CRM, marketing, customer data, retail or enterprise applications.
• Knowledge and experience in engineering practices such as DevOps, DataOps, MLOps, continuous integration and continuous delivery, monitoring and automation.
• Experience delivering within global platforms or federated operating models while balancing global standards and local requirements.

Skills

Experience

Substantial professional experience in data, analytics, data engineering, AI, solution engineering or a related field; experience leading data, analytics or AI solutions through production operations; and experience with cloud data and analytics technologies, productionising AI solutions, integrating data across business systems, and delivering in global or federated operating models.

Education

Bachelor’s degree or equivalent professional experience.

Culture

Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.

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.