Freelancer profile translated to English.
Back to original languageAbout Aurélien
AI & Operational Transformation Consultant | SMEs & Industrial Mid-Caps
Making AI useful, profitable, and adopted in the field: this is my commitment to the leaders of industrial SMEs and mid-caps.
By grounding my advice in 15 years of operational experience (maintenance, logistics, performance), I bridge the gap between your business strategy, your field teams, and technical feasibility.
Why my approach works:
- 15+ years of field experience in industrial environments.
- Management of budgets up to €20M/year and transformation of 27 sites.
- Integration of Generative AI into the daily lives of 1,500 employees.
- Dual expertise: Board vision & operational reality.
How I support you:
- AI maturity audit: Identification and prioritization of high-impact use cases.
- Scoping & Sourcing: Translating your business needs into structured projects and selecting technical partners.
- Management / Field Coordination: Securing dialogue between decision-makers, operational teams, and IT experts.
- Change Management: Acculturation and support for teams to ensure real adoption of tools.
Would you like to assess the concrete potential of AI in your organization?
I offer a first 30-minute discussion to analyze your context and opportunities.
French
Native or bilingual
English
Conversational
Spanish
Basic
Remote only
Primarily works remotely
Experience
- LogistiqueHead of DATA / AIJanuary 2026 - Today (7 months)Nantes, FranceAs Head of Data & AI, I lead the strategy and operational implementation of Data, Analytics, and AI projects to optimize the performance of logistics flows and business processes.My role focuses on strategic scoping, business value piloting, and leading engineering and Data Science teams.Scope and Responsibilities:Use Case Scoping & Business Alignment
- Support operational departments in identifying, qualifying, and prioritizing Data/AI needs with high ROI.
- Translate business challenges into structured use cases and write functional specifications.
- Change management, AI acculturation, and support for field teams to ensure solution adoption.
Data Science Team Management & Leadership- Supervise and lead Data Scientists throughout the algorithmic model lifecycle.
- Oversee key projects: activity and workload forecasting, planning, computer vision applied to logistics control, and automated invoice audit/control.
- Scope and operationally integrate Generative AI (GenAI) solutions into business processes.
Data Architecture & Datamarts- Design, model, and deploy decisional Datamarts to centralize and leverage business data.
- Structure data assets to effectively feed algorithmic models and pilot tools.
Impact & Value Created:- Structuring of a Data & AI roadmap aligned with operational and logistics challenges.
- Successful bridge between strategic business vision and Data Science technical feasibility.
- Industrialization of high-value-added decisional and predictive solutions.
- LogistiqueHead of Industrial Maintenance & PerformanceJanuary 2019 - December 2025 (6 years and 11 months)Nantes, FranceLeading the national maintenance strategy and industrial performance for a logistics network of 27 warehouses, 70% of which are mechanized.Scope & Key Achievements:
- Direct management of a central team of 15 people (maintenance engineers, buyers, maintenance coordinators, expert technicians...) and cross-functional leadership of 120 employees across the country.
- Financial & Performance Management: Overall management of maintenance budgets (~€20M/year) and investment plans (~€5M/year) with a target availability of maintained processes at 99%.
- Mechanization: Management of the commissioning and deployment of 10 new mechanized installations.
- Digitalization & Methods: Deployment and generalization of CMMS across 23 sites, structuring of preventive maintenance plans, KPI monitoring, and central purchasing negotiation.
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