Cartier International MCC Data & Analytics Manager

About Cartier

Cartier is one of the world’s most revered Maisons of luxury, celebrated for its high jewellery, watchmaking excellence, and enduring Parisian elegance since 1847. As an employer, Cartier offers a refined environment where craftsmanship, creativity, client excellence, and entrepreneurial spirit are cultivated with care. Its teams contribute to a heritage defined by innovation, cultural influence, and exceptional savoir-faire, while benefiting from the global strength and values of the Richemont Group. Cartier seeks individuals who combine aesthetic sensitivity, precision, collaboration, and a commitment to service, inviting them to help shape the future of a Maison synonymous with beauty, rarity, and timeless distinction.

Role & Responsibilities

• Define and articulate a clear strategic vision and roadmap for data and analytics initiatives within the Marketing Communication and Client Data domains, ensuring alignment with overall business priorities
• Identify opportunities to leverage data assets and analytics to solve business challenges, improve decision-making, and create competitive advantage
• Establish a comprehensive inventory of dashboards, identifying redundancies and fragmented solutions within MCC teams
• Design and oversee development of a unified data and analytics ecosystem to improve efficiency, reduce complexity, and simplify maintenance
• Oversee the design, development, and maintenance of robust data integration workflows in Google Cloud Platform (GCP), managing external data engineering resources
• Lead the development of high-quality reports, dashboards, and data visualizations using Looker, ensuring accuracy, usability, and timely stakeholder delivery
• Manage and maintain the MCC data catalog to ensure clarity of data sets, usage patterns, and KPI definitions
• Harmonise KPIs and data structures across teams to streamline data and analytical developments and prevent duplication
• Ensure the relevance and coherence of the MCC data ecosystem in alignment with Cartier's central data office and group platform
• Drive identification, prioritization, and implementation of Generative AI use cases in collaboration with MCC, Data Office, Finance, and Commercial teams
• Lead the development of advanced predictive models and strategic simulation tools to quantify the impact of investments on key performance drivers
• Champion experimentation with emerging technologies, AI agents, and methodologies to continuously improve team capabilities
• Act as the primary subject matter expert and advocate for data and analytics capabilities to both technical and non-technical stakeholders
• Build and cultivate strong relationships with MCC internal business partners to ensure effective utilization of data assets and promote best practice sharing
• Partner with Cartier's data office to implement governance frameworks and support the group's data and AI strategy
• Present findings, recommendations, and project progress to senior leadership

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related quantitative field
• Minimum 10 years of progressive experience in data engineering, business intelligence, data analytics, or data solution development roles
• Minimum 3 years in a leadership or management role, successfully building and leading data and analytics teams
• Strong hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Storage, and Composer/Airflow
• Proficiency in SQL and at least one programming language (such as Python) for data manipulation and automation
• Demonstrated familiarity with data warehousing concepts, ETL/ELT processes, and data governance principles
• Proven ability to translate complex business challenges into technical requirements and actionable data and analytics solutions
• Experience in marketing, client data, communication data, or digital transformation contexts
• Ability to thrive in fast-paced, dynamic, and evolving environments
• Strategic mindset combined with hands-on execution capability
• Intellectual curiosity with commitment to continuous learning and professional development

Skills

Experience

10+ years of progressive experience in data engineering, business intelligence, data analytics, or data solution development roles, with a minimum of 3 years in a leadership or management capacity successfully building and leading data and analytics teams. Proven hands-on expertise with Google Cloud Platform technologies and demonstrated ability to drive data strategy and analytics initiatives in complex, matrixed organizational environments.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related quantitative field

Workplace

Culture

Cartier fosters a workplace culture rooted in exceptional craftsmanship, creativity, and respect for its rich heritage as a leading luxury Maison. Employees are encouraged to uphold the highest standards of excellence while contributing to an international, collaborative environment where innovation, elegance, and client-centric service are deeply valued.

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.