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Data & AI Lead

TOKYO

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Apply at Richemont

What you’ll work on

Full posting
  • Translate business needs into data product plans, designs, and deliverables

  • Design data integration across CRM, marketing, cloud data warehouse, and BI environments

  • Manage priorities, dependencies, risks, and delivery quality across data initiatives

From the employer’s posting
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
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
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

Tools in this posting

  • BigQuery
  • dbt
  • Looker
  • SQL
Source — Tool mentions in context
• 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
• 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

Posting record

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Status in our records
Live
First seen by us
Oct 15, 2026 · 1d ago
Recorded sightings
2

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Job description

View original posting ↗

Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values ​​of our Houses, through a process of permanent creativity.

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

#Richemont #WeCraftTheFuture

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Location & working pattern

TOKYO

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