SAINT LAURENT WW Clients’ Data Analytics Project Manager M/W

ROLE:

We are seeking a highly skilled and strategic WW Clients’ Data Analystics Project Managerfor the Maison. This role is instrumental in managing and optimizing our data ecosystems to support business needs by analysing the trend of clients’ purchasing behaviour.  The ideal candidate will possess technical expertise, analytical acumen, and a deep understanding of the luxury fashion landscape.

RESPONSIBILITIES:

OVERALL COMPETENCIES

Data Strategy and Governance

• Develop and implement a comprehensive clients’ data management strategy aligned with the brand’s vision and goals.
• Oversee clients’ data governance and audits of data compliance processes to ensure accuracy, integrity, and compliance with regulations (e.g., GDPR, CCPA).

Customer Insights and Personalization

• Analyze clients’ data to uncover insights about buying behaviors, preferences, and trends.

Data Collection and Integration

• Ensure seamless integration of data across platforms to create a unified and accurate database.

Data Analytics and Reporting

• Act as Product Owner for Dashboards and Reporting Tools to monitor business performance metrics, including sales, customer engagement, and product trends by different clients’ segments.Provide actionable insights to inform strategic initiatives and collaborate closely within the WW Client Development to develop personalized clients’ campaigns and experiences
• Experiment on A/B testing and experimentation frameworks to measure the impact of campaigns and strategies on customer engagement and sales.

Collaboration with Teams

• Partner with Retail Merchandising, Marketing, Retail Excellence and e-commerce teams to ensure data-driven decision-making across the organization.
• Collaborate with Kering and house IT teams to maintain and improve data infrastructure, systems, and tools Provide cross-functional workshops or training sessions to educate teams on leveraging data for decision-making.

Technology Management

• Evaluate and implement cutting-edge data management and analytics tools, such as CRM systems, predictive analytics, and artificial intelligence
• Monitor industry trends and innovations to maintain a competitive edge in the luxury fashion space.

SUPPORT TO REGIONAL CLIENT TEAM

• Support regional and local clients’ and retail teams for building dashboards and reporting tools
• Conduct quarterly reviews with regional teams to align on goals, challenges, and performance metrics.

TEAM

• Leadership and management skills required to develop and train direct reporting team and regional client team

REQUIREMENTS

• Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or a related field.
• More than 5 years of experience in data management or analytics, preferable in luxury fashion, retail or hospitality.
• Proven experience managing CRM systems and data analysis for customer engagement and personalization.
• Strong project management and organizational skills, with the ability to manage multiple initiatives simultaneously
• Highly resilient, relentless, and cheerful in the face of adversity
• Leadership and people management skills
• Strong team player for cross-functional and multi-regions’ collaboration
• Adaptability to diverse markets and cultures
• Strong communications’ skills and ability to translate data insights into clear, impactful recommendations for non-technical stakeholders
• Strong problem-solving skills; proactive in identifying and addressing data-related challenges to improve efficiency and accuracy.
• Strong understanding of data privacy regulations (e.g., GDPR, CCPA).
• Fluent in English

Saint Laurent is committed to building a diverse workforce. We believe diversity in all its forms – gender, age, nationality, culture, religious beliefs, and sexual orientation – enriches the workplace. It opens opportunities for people to express their talent, both individually and collectively and it helps foster our ability to adapt to a changing world. As an Equal Opportunity Employer, we welcome and consider applications from all qualified candidates, regardless of their background.