Dir, Data Science & Analytics

Job Description

DFS is the world's leading luxury retailer serving travelers in the world. We are currently looking for a Director, Data & AI to join us to support business growth and development. The role is responsible for developing and driving DFS data strategy, and continuously driving DFS’s data maturity and creating a competitive advantage through data.

Roles & Responsibilities:

• Designing and executing the company's data strategy and roadmap to make DFS a leading data organization in the Luxury travel retail industry.
• Collaborating with business stakeholders to identify data needs and drive data-driven decision-making.
• Overseeing the following areas:
  • Data Governance: Implement data governance frameworks and monitor data quality and integrity. Design roadmap of what data to add to the eco-system to stay future-ready.
  • Data Privacy: In collaboration with DPO (legal) & cyber security (IT), make sure that all existing & newly proposed data flows are mapped and compliant between all systems and regions.
  • Data Empowerment: Set up data training for different levels of employee needs. Create data awareness through data story telling.
  • Analytics (Rapid Insights): Work directly with business units to solve needs on the spot, as well as intake long term requirements for prioritization.
  • Data Science: Create and maintain algorithms focusing on optimization, forecasting & personalization. Review any project that involves some form of AI for responsibilities.
  • Business Intelligence:
  • Enterprise reporting: Top-down reporting to reflect our business strategy.
  • Data monetization: Monetizing the value of our data throughout the value chain.
  • Data projects: Bottom-up data requests from different teams.
  • Data Architecture: Restructure the technical data model into an analytics view as well as unlock new value from the data by changing the granularity, consistency, and completeness.
  • Value Office: Make sure that all teams consistently measure the potential value of new requests and drive value through their development. Rationalizes urgencies and manages overall backlog.
• Prioritizing the opportunities to make sure that all work executed by the team drives strategic and/or monetary value for DFS.
• Acting as the business owner of the data platform (data lake & BI layer) in collaboration with the IT owner.

Key Requirements

• Master in Data Science and Analytics, Artificial Intelligence, Machine Learning or equivalent required
• Minimum 10 years of experience
• High level SQL/python knowledge to communicate with technical teams
• Strong background in building algorithms
• Knowledgeable about big data systems (AWS/Google/Azure)
• Good at translating complex data mechanisms into simple business structures.
• Has a passion for AI and is data savvy.
• Experience with: Forecasting (ARIMA, RNN, LTSM, Light GBM), propensity modeling (XGBoost, NN, RF), clustering, basket analysis, & recommender systems (content-based filtering & collaborative Filtering)
• Fluency in English language and other language(s) as required by location