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Thales

Global defense and aerospace electronics

Chief Data & AI Officer

Data Management +1Confirmed live in the last 24 hours
Full-timeVélizy-Villacoublay, FranceNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Engineering.
  • At least 15 years of professional experience, including more than 5 years in data engineering management, agile teams, software, AI/ML, or cybersecurity.
  • Strong technical expertise in at least three of AI/ML engineering, data engineering, cybersecurity, and modern lean engineering.
  • Proven experience delivering complex Data & AI programmes, supporting enterprise-wide digital transformation, and deploying AI products into production.
  • Solid knowledge of cloud platforms and modern data engineering practices, supported by formal education or relevant certifications in cloud and data technologies.
  • Demonstrated people leadership, including the ability to attract, develop, and retain talent, manage multidisciplinary teams, and lead organisational change.
  • Experience in the aerospace, defence, or transportation industries, particularly Air Traffic Management (ATM), is appreciated.

Responsibilities

  • Lead the worldwide Data & AI transformation programme across products, engineering, and business functions within Thales AMS.
  • Define and execute a cohesive Data & AI roadmap, strengthen data governance, and accelerate deployment of AI solutions across AMS.
  • Lead Data & AI governance across AMS, including deploying processes and tools, conducting data assessments, ensuring Data Galaxy catalogue consistency, and establishing reliable data foundations.
  • Oversee data engineering initiatives covering data ingestion, transformation, storage, quality, availability, and performance optimisation to support scalable AI solutions and LLM development.
  • Coordinate development and lifecycle management of a global AI agent marketplace, promoting reusable AI solutions and supporting the AI ambassador network.
  • Drive modernisation of business processes through AI, lean engineering, and agentic approaches; strengthen knowledge management and support deployment of AI-based solutions.
  • Lead and develop multidisciplinary teams of AI engineers, data engineers, and specialists, fostering collaboration, innovation, continuous improvement, and a data-driven culture.
  • Shape long-term Data & AI priorities with functional leaders, Product Owners, architects, and Product Managers, while advising and contributing to technology watch for the LAS Global Business Unit.
  • Collaborate with international stakeholders and partners, travel approximately 30% domestically and internationally, and occasionally work outside standard business hours due to global operational requirements.

Desired Qualifications

  • A Master's degree in Engineering or an MBA.
  • Experience in agile data engineering, cloud-based SaaS solutions, microservices, APIs, event-driven architectures, or distributed teams.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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