Louis Vuitton Data Science Director

About Louis Vuitton

Founded in Paris in 1854, Louis Vuitton stands among the world’s most emblematic luxury maisons, renowned for exceptional craftsmanship, innovation, and the art of travel. As an employer, the Maison offers a distinctive environment where heritage and modernity meet, inviting talents to contribute to a global culture of excellence across retail, design, craftsmanship, client experience, operations, and corporate functions. Louis Vuitton values curiosity, precision, creativity, and entrepreneurial spirit, supporting employees through international opportunities, learning pathways, and a strong commitment to savoir-faire. Its teams are united by a shared ambition to craft enduring desirability and deliver exceptional experiences worldwide.

Role & Responsibilities

• Define and execute the Data Science strategy, aligning global LVMH roadmaps with North American market priorities to drive revenue growth and operational efficiency
• Serve as a key thought partner to senior leadership, translating complex analytical findings into clear business recommendations and strategic actions
• Drive the identification and deployment of AI-powered solutions across Operations, Merchandising, Finance, HR, Retail, and Client Development, focusing on eliminating repetitive low-value tasks and enabling forecasting and data-driven decision-making at organizational scale
• Ensure the AI agenda delivers measurable productivity and quality gains across the entire organization beyond departmental silos
• Maintain active alignment with LVMH Group and Louis Vuitton Central teams to ensure visibility of Group and Maison-level AI initiatives, leveraging centrally developed assets and avoiding duplication
• Channel locally identified use cases to Central functions when relevant and cascade Group/Maison roadmap priorities into the North American context
• Lead the application and scaling of advanced analytics, machine learning, and generative AI solutions across customer interaction, media optimization, and automated communications
• Serve as the definitive owner for algorithm localization, adapting global AI models to account for local cultural nuances, privacy regulations, and specific consumer behaviors
• Scout and activate emerging use cases (such as Agentic AI), ensuring Louis Vuitton Americas remains at the forefront of automated commerce and personalized content generation
• Collaborate with IT and Client Development to build a unified data ecosystem, ensuring seamless model integration across all customer touchpoints
• Manage, mentor, and develop a multidisciplinary data science team, fostering a culture of technical excellence and commercial acumen
• Champion data literacy across the organization, positioning data as a strategic asset that empowers human talent
• Implement an iterative build–test–refine methodology for all AI projects: scoping minimum viable solutions, validating with end-users, measuring impact, and incrementally expanding within a clear ROI framework
• Prioritize and sequence the AI portfolio based on quantified business value, balancing quick-win initiatives that demonstrate tangible ROI with longer-term capability building
• Ensure strong governance across data privacy, security, and lifecycle management practices, adhering to applicable regulations and Louis Vuitton's internal standards

Qualifications

• Bachelor's degree in Data Science, Computer Science, or related field (advanced degree preferred)
• 12+ years of professional experience in Data Science, AI/ML, or Digital Transformation with significant experience leading and developing technical teams
• Proven ability to translate technical complexity into commercial value and drive strategic data and AI initiatives in complex, matrixed environments
• Deep understanding of modern data ecosystems, including cloud platforms, Customer Data Platforms (CDP), predictive modeling, Large Language Models (LLMs), and Generative AI
• Expert knowledge of data governance, privacy, security, and lifecycle management principles
• Exceptional communication, strategic thinking, and organizational leadership skills capable of influencing senior stakeholders
• Experience in luxury, retail, consumer goods, or client-centric industries (preferred)

Skills

Experience

Minimum 12 years of professional experience in Data Science, AI/ML, or Digital Transformation, with substantial responsibility for leading and developing technical teams. Candidates must demonstrate a proven track record of translating technical complexity into measurable commercial value and driving strategic data and AI initiatives within complex, matrixed organizational environments. Experience in luxury retail, consumer goods, or client-centric industries is preferred.

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a closely related quantitative field is required. An advanced degree (Master's or PhD) in a related discipline is preferred.

Workplace

Compensation

The base compensation for this position ranges from USD 200,000 to USD 240,000 per annum.

Benefits

Medical, dental, and vision coverage; short-term and long-term disability insurance; comprehensive paid time off programs; employee discounts and perks; two retirement plans with employer contributions.

Culture

Louis Vuitton fosters a culture rooted in heritage, craftsmanship, and a relentless pursuit of excellence, where employees contribute to one of the world’s most iconic luxury maisons. Its workplace environment combines creativity, precision, and international collaboration, offering teams the opportunity to grow within a brand that values innovation, client experience, and long-term savoir-faire.

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.