Richemont Senior Manager, Data and Analytics

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

• Develop and articulate comprehensive data and analytics vision and strategy aligned with business objectives, sustainability regulations, and digital transformation initiatives
• Identify, design, and prioritize key business questions that generate value creation through data analysis
• Champion a data-driven culture across the organization, promoting data literacy and analytics-informed decision-making
• Establish and enforce robust data governance policies, standards, and procedures ensuring data quality, integrity, security, privacy, and compliance (GDPR, Non-Financial Reporting)
• Oversee the architecture, design, and implementation of data platforms, warehouses, and infrastructure
• Pioneer and lead the development and deployment of advanced analytics, predictive modelling, and machine learning solutions
• Oversee creation of dashboards, reports, and data visualizations that provide clear, actionable insights to stakeholders
• Design and deliver reporting frameworks tailored to varied maturity levels across 20+ maisons and regions
• Apply data science methodologies to analyse spend and buying patterns, drive cost savings, and mitigate supply chain risks
• Partner closely with Group Data Office teams to operationalize analytics and AI solutions end-to-end
• Serve as primary liaison between data and analytics team, Category Managers, Responsible Sourcing leads, and internal stakeholders
• Communicate complex analytical findings clearly and concisely to non-technical audiences including senior leadership
• Manage and develop a team of data professionals, fostering a collaborative, innovative, high-performance environment
• Provide technical guidance and thought leadership to the team
• Actively upskill the team in advanced analytical methodologies, data storytelling, and next-generation AI tools in procurement

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field
• 8+ years of progressive experience in data analytics, business intelligence, data science, or related field, including management experience
• Deep understanding of digital procurement ecosystem (SAP Ariba)
• Proficiency in programming languages commonly used in data science (SQL, Python, R)
• Expertise in data visualization tools (Looker, Power BI, Tableau)
• Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas, data modelling)
• Experience with large-scale data platforms and cloud technologies (AWS, Azure, GCP, Google Cloud Platform)
• Strong understanding of data governance, data quality, and data privacy principles
• Knowledge of database management systems and ETL processes
• Familiarity with machine learning frameworks and statistical modelling techniques
• Proven track record of developing and executing data strategies that deliver significant business value
• Demonstrated ability to translate complex business requirements into clear technical specifications

Skills

Experience

8+ years of progressive experience in data analytics, business intelligence, data science, or related field, with demonstrated experience in a management role. Proven track record of developing and executing data strategies that deliver significant business value, with proven ability to translate regulatory compliance requirements into data architecture and collection frameworks.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.

Workplace

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.