- Company Name
- Fnac Darty
- Job Title
- Directeur.trice Data & AI Factory F/H
- Job Description
-
**Job Title**
Director, Data & AI Factory (M/F)
**Role Summary**
Lead the Data & AI Factory, a central agile organization of 50+ experts, to deliver data‑driven solutions that transform commerce, logistics, and services across a multinational retail/OMN channels group. Own vision, strategy, governance, and budgeting for the factory while representing the organization in the global data ecosystem.
**Expectations**
- Demonstrated strategic leadership in complex, data‑centric environments.
- Proven track record in retail/e‑commerce transformation.
- Ability to influence C‑level stakeholders and align data initiatives with business goals.
- Hands‑on expertise with modern data stacks, AI/GenAI, MLOps, and cloud—technology, not just theory.
- Budget stewardship and prioritization based on business value.
**Key Responsibilities**
- Build and evolve the Data & AI Factory’s architecture, standards, and scalable solutions.
- Set the group’s Data & AI vision, linking it to the “Beyond Everyday” strategy.
- Identify data‑driven value for commerce, supply chain, and post‑sales functions.
- Launch high‑impact AI initiatives (recommendations, predictions, automation, reparability).
- Define, implement, and enforce data governance with cross‑functional partners.
- Manage the factory’s budget, resource allocation, and project prioritization.
- Cultivate a positive, collaborative culture; run agile processes and talent development.
- Represent the organization at industry events, conferences, and partnerships.
**Required Skills**
- Strategic data and AI leadership with industry‑relevant experience (retail/e‑commerce).
- Deep knowledge of data platforms (storage, processing, BI) and AI/ML workflows (MLOps, DataOps).
- Proficiency in cloud technologies and emerging AI/GenAI paradigms.
- Strong communication, stakeholder management, and executive presentation skills.
- Budgeting and portfolio management experience.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or a related field.
- Advanced certifications in AI/ML, data engineering, cloud (AWS, Azure, GCP) or data governance preferred.