Data Science Director

Responsibilities include, but are not limited to: Strategic Leadership & Business Partnership Define and execute the Data Science strategy, aligning global roadmaps with local market priorities to drive revenue growth and operational efficiency. Act as a key thought partner to leadership, translating complex analytical findings into clear business recommendations and strategic actions. Drive the identification and deployment of AI-powered solutions across all LVA departments — including Operations, Merchandising, Finance, HR, Retail, and Client Development — with a focus on eliminating low-value, repetitive tasks and enabling forecasting, pattern recognition, and data-driven decision-making at scale. Ensure the AI agenda extends beyond any single function, delivering measurable productivity and quality gains for the entire organization. Maintain active alignment with LVMH Group / LV Central teams to ensure full visibility of Group/Maison-level AI initiatives, avoiding duplication of effort and leveraging centrally developed assets where available. Serve as the LVA relay for AI innovation: channel locally identified use cases to Central when relevant, and cascade Group/Maison roadmap priorities into the LVA context. Innovation & Data Science Development 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 (e.g., Agentic AI), ensuring the Maison 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 touchpoints. Team Leadership & Functional Excellence Manage, mentor, and evolve a multidisciplinary team, fostering a culture of technical excellence and commercial acumen. Champion data literacy across the organization, fostering a culture where data is a strategic asset and AI empowers human talent. Champion an iterative build–test–refine methodology for all AI projects: scope a minimum viable solution, validate with end-users, measure impact, and incrementally expand — ensuring each cycle is governed by a clear return-on-investment framework. Prioritize and sequence the AI portfolio based on quantified business value, balancing quick wins 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 internal standards.

Work Experience/Skills 12+ years 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/AI initiatives in a complex, matrixed environment. Deep understanding of modern data ecosystems, including cloud, CDP, predictive modeling, LLMs, and Generative AI. Experience with data governance, privacy, security, and lifecycle management principles. Exceptional communication, strategic thinking, and organizational leadership skills, capable of influencing senior stakeholders. Luxury, retail, consumer, or client-centric industry experience preferred. Bachelor’s degree in Data Science, Computer Science, or related field required; advanced degree preferred. The appointed candidate will be offered a salary within USD $200,000 - $240,000 annually, comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discounts/perks and two retirement plans both with employer contributions.