About Christophe
French
Native or bilingual
English
Fluent
Experience
- Airbus HelicoptersEnterprise Architect – Data & AIFebruary 2022 - Today (4 years and 6 months)• Design of industrial data platform architectures to support AI and data-driven uses.• Definition and support of the AI technical stack (data engineering, machine learning, MLOps, cloud).• Elaboration of the target architecture for industrial Data & AI, integrating security, scalability, and interoperability with Airbus critical systems.• Collaboration with business, IT, data teams, and external partners to ensure the success of AI projects.• Participation in the scoping of industrial AI use cases, from design to integration into the production environment.Key results:• Implementation of a robust data platform meeting Airbus's industrial constraints.• Adoption of an AI architecture repository enabling project acceleration across different programs.• Acceleration of AI industrialization in critical contexts (production, maintenance, quality).
- France TravailDepartment Manager / Data Services AixJanuary 2017 - July 2022 (5 years and 6 months)• Leadership of the creation of an AI Factory with 15 experts (data scientists, data engineers, product owners, architects).• Implementation of a structured AI practice (governance, methodology, strategic alignment).• Facilitation of strategic committees and multidisciplinary coordination (business, IT, data).• Definition and management of an AI use case pipeline: from ideation to industrialization.• Deployment of MLOps practices to ensure the reliability and scalability of AI models.
- France TravailEnterprise Architect – IT & Big Data TransformationPUBLIC SECTORDecember 2016 - July 2022 (5 years and 7 months)• Contribution to the implementation and transformation of the IS with a data-driven approach.• Participation in the creation and deployment of a Big Data infrastructure at the organizational level.• Definition of architecture repositories and support for cross-functional projects.• Alignment of Big Data initiatives with the establishment's digital strategy.Key results:• Implementation of a Big Data platform supporting AI and analytics projects.• Modernization of the IS to integrate a data culture and new uses.
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