Data & AI Project Manager
Parfums Christian Dior
Date: il y a 1 semaine
Ville: Neuilly-sur-Seine, Île-de-France
Type de contrat: Temps plein

Poste
About Parfums Christian Dior: Parfums Christian Dior is at the forefront of an ambitious strategy focusing on direct distribution and omnichannel. As we embrace this bold transformation, data is not just integral - it's foundational. A Data team has been created 3 years ago and the impact of Data & AI (incl. GenAI) is now proven.
Key accomplishment so far: Tech stack in place, 20+ algorithms, 50+ data use cases (from hyper-targeted communications to personalized product recommendation, predictive replenishment or anti-churn cycles), a Worldwide community with Data teams in key Regions/Markets.
Role Overview: We are seeking a highly motivated Data & AI Project Manager to join our Data & AI Office.
Reporting to our “Head of Data Strategy”, you will be responsible for:
Missions
Key Responsibilities
Vision and Strategy
Qualifications
Academic Background & Professional Experience
About Parfums Christian Dior: Parfums Christian Dior is at the forefront of an ambitious strategy focusing on direct distribution and omnichannel. As we embrace this bold transformation, data is not just integral - it's foundational. A Data team has been created 3 years ago and the impact of Data & AI (incl. GenAI) is now proven.
Key accomplishment so far: Tech stack in place, 20+ algorithms, 50+ data use cases (from hyper-targeted communications to personalized product recommendation, predictive replenishment or anti-churn cycles), a Worldwide community with Data teams in key Regions/Markets.
Role Overview: We are seeking a highly motivated Data & AI Project Manager to join our Data & AI Office.
Reporting to our “Head of Data Strategy”, you will be responsible for:
- Overseeing the portfolio of data/AI projects
- Coordinating the delivery of AI use cases, from ideation to launch and continuous improvement
Missions
Key Responsibilities
Vision and Strategy
- With the Head of Data Strategy & Growth, identify strategic opportunities where data can drive significant business impact
- Identify and prioritize data use cases, aligning with Business Partners (CRM, e-Commerce, Customer Service, Supply Chain, Finance, HR, etc.), Markets, and our IT department, that generate substantial value
- Partner with all stakeholders to define KPIs and ensure a consistent, accurate measurement across all initiatives
- Own the Data-product vision, in partnership with markets & business partners
- Own the backlog of data/AI use cases (incl. GenAI use cases and data partnerships)
- Ensure that the value delivered aligns with expectations
- Drive the framing of data/AI/GenAI use cases, and follow-up on the value created
- In particular, work closely with data scientists, engineers, analysts, to translate business needs into technical requirements
- Oversee execution and use cases delivery
- Monitor product performance post-launch working hand in hand with Data analysts
- Facilitate project governance, ensuring adherence to agile principles to maximize efficiency in delivery
- Foresee risks and escalate alerts as necessary to management
- Ensure compliance with data governance standards, privacy policies, and regulatory requirements
Qualifications
Academic Background & Professional Experience
- Graduated from a top-tier Engineering or Business School
- 2 to 5 years of professional experience in roles focusing on Data, ideally gained within Retail, Luxury Goods or Management Consulting
- Experience in strategy consulting highly appreciated
- Experience in an international environment highly appreciated
- Proven track record of successfully managing / delivering Data/AI use cases
- Strategic thinker with an innovative mindset who enjoys solving complex problems
- Detail-oriented planner who maintains focus on deliverables without losing sight of the big picture
- Stellar communication skills, both verbal and written
- Ability to work closely with business unit leaders and team members, with strong empathy and creative problem-solving skills
- Understanding Machine Learning concepts, big data ecosystems, Cloud platforms
- Proficiency in delivering data use cases using Agile methodologies
- Solid project management skills (framing, analytical rigor, etc.)
- Proficiency in English (working language) and French are required
- Additional languages are an asset
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