Omnichannel Data & AI, Assistant Manager

Position

MISSION STATEMENT

We are seeking a dynamic and results-oriented Data & AI Assistant Manager to join our Omni-channel team. This role is pivotal in owning the omni-channel data ecosystem and supporting AI for Commerce initiatives.

You will serve as the key bridge between data, technology, and business, leveraging omni-channel tagging, Machine Learning, and Agentic AI to decode customer journeys, support both online and offline commerce teams, deliver measurable impact on commercial performance, and increase efficiency across all channels.

MAIN RESPONSIBILITIES

1. Omni-Channel Data Hub & Tagging Management (Business Impact Focus)

• Data Ecosystem Support: Support the omni-channel data hub from the business side, working as the counterpart to IT & Omni-retail teams and aligning unified data definitions, metrics, and KPI frameworks across functions.
• Omni-Channel Data Tagging: Support cross-functional teams in building and maintaining the omni-channel tagging framework, from online behavior and transactional data to algorithms, enabling precise client journey mapping and personalization at scale.

2. Machine Learning Algorithm

• Integrate Global Modeling: Co-work with HQ and local cross-functional teams to integrate HQ modeling into the local data environment and translate algorithm outputs into business use cases with clear commercial value.
• Localization & Business Translation: Support the adaptation of global models to the local market context, including client behavior, data coverage, and KPI definitions, and translate algorithm results into executable business actions, such as prioritized prospect follow-up lists, cross-category recommendations, client segmentation, and dormant client reactivation.
• Algorithm Monitoring & Improvement: Closely monitor algorithm results and perform A/B testing to continuously improve model performance and business relevance.

3. Agentic AI

• Business Adoption & Enablement: Support Client Advisors and CRM users in adopting AI capabilities in their daily work, gather online and offline commerce needs and feedback, and iterate to keep solutions practical, useful, and compliant.
• Pilot-to-Scale Delivery: Support the end-to-end lifecycle of Agentic AI initiatives, including use case scoping, solution design with IT and HQ, business validation with retail teams, and preparation for wider rollout.
• Impact Tracking: Support the measurement of business impact on sales conversion and service quality, and share learnings across markets to scale what works.

WORKING RELATIONSHIPS

1. Internal

• Retail Team
• Marketing
• Merchandising
• IT Team
• Other office supporting functions

2. External

• External Vendors
• LVMH Partners

QUALIFICATION, EXPERIENCE & SKILLS REQUIRED

1. Education

• Bachelor's or Master's degree in Business Analytics, Data Science, or related fields.

2. Languages

• Fluent in English and Mandarin.

3. Professional Experience & Know-how

• 3–5 years of experience in CRM, data analytics, data/AI products, or digital transformation, preferably in luxury, retail, or consulting.
• Experience in luxury retail or high-end consumer goods is a plus.

4. Technical & Management Skills

• Solid command of SQL and Python.
• AI Business Acumen: Familiarity with ML use cases in retail, such as recommendation engines and predictive analytics, as well as emerging Agentic AI technologies. The candidate does not necessarily need to be a coder but must be able to define clear business requirements for technical teams.
• Practical exposure to AI/LLM tools and agent-based workflows, including prompt design and AI output quality evaluation.
• Strong project management skills, with proven experience managing cross-functional projects from planning to delivery.
• Fluent in English and Mandarin.

5. Personal & Interpersonal Skills

• Customer orientation
• Strong data sensitivity
• Creative thinking
• Team-working spirit
• Passion for luxury