Christian Dior Senior Manager, Data Science & Data Solutions
About Christian Dior
Parfums Christian Dior is the prestige beauty division of a globally recognised luxury house, operating within the LVMH group. The business combines runway heritage and haute-couture sensibility with progressive investments in digital, data and client experience to serve a global luxury clientele, with a strong commercial focus in Greater China.
Parfums Christian Dior — Shanghai: Senior Manager, Data Science & Data Solutions to lead AI/ML, CDP and data governance for PCD China.
Role & Responsibilities
- Lead PCD China’s data science function: define and align local roadmap with global strategy, and oversee end-to-end development, deployment and maintenance of ML models using Dataiku.
- Drive PCD’s Generative AI strategy: architect technical foundations, lead development of GenAI solutions, and establish responsible-AI governance and best practices.
- Partner with Brand and Performance Media teams to embed data-driven insights into media strategies across Tencent, Douyin and RED, improving media efficiency and measurable returns.
- Own omni-channel data collection, CDP onboarding and client-tag taxonomy: prioritise sources, enable downstream systems and maintain a 360-degree client view for commercial activation.
- Manage data quality, governance and compliance (including PIPL), coordinating with Legal, Beauty Tech and Security stakeholders.
- Define and implement data monitoring rules, report data defects, and ensure projects respect timelines and budgets while federating cross-functional stakeholders.
Qualifications
- Minimum 8 years’ hands-on experience in AI/ML modelling or data innovation roles; prior tenure as a Data Scientist or data lead required.
- Proven track record in leading cross-functional data projects and driving business impact; experience in Retail, Consumer Goods, Cosmetics or Luxury is strongly preferred.
- Fluency in Mandarin and English, both written and spoken.
- Bachelor’s degree or higher in a quantitative, technical or business discipline.
- Strong commercial orientation, excellent communication and stakeholder management skills, and ability to translate technical work into business outcomes.
Skills
Experience
At least eight years' relevant experience in AI/ML modelling, data innovation or analytics leadership, with demonstrated delivery of production models and data-driven solutions; prior exposure to retail/consumer or luxury beauty environments and cross-functional program leadership is preferred.
Education
Bachelor’s degree or higher in Computer Science, Statistics, Data Science, Engineering, Mathematics, Economics or a related field.
Workplace
The successful candidate will be located in Shanghai, Shanghai, China.
Culture
The workplace reflects a heritage luxury brand’s blend of creativity and commercial rigour, with a strong emphasis on product excellence and client experience. Teams operate in a global, matrixed environment that values innovation in digital and data, cross-functional collaboration and high professional 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.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Christian Dior, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Head of Data Science, Beauty», «Data Solutions Lead», «AI & ML Manager — Consumer Beauty», «Senior Manager, Data & Analytics», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.