Digital Manufacturing Analytics Engineer with AI

Airbus

Toulouse

Hybrid

EUR 70,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Vacation days plus additional days off
Hybrid working model
Transport assistance

Job summary

Airbus Operations SL in Toulouse area seeks a Manufacturing Engineering Business Methods Engineer specializing in data analytics and foundations. You will lead digital transformation projects and define the ME data analytics strategy to improve decision-making across Work Preparation processes.

The role requires a Master’s degree, hands-on experience in Work Preparation, and strong AI/ML knowledge, with English proficiency for negotiations and travel readiness.

Qualifications

  • 5-year degree (Master's or equivalent) in Mechanical Engineering, IT, or related field.
  • Hands-on experience in Manufacturing Engineering Work Preparation activities, with proven project leadership and change management experience.
  • Strong knowledge of AI foundations and data flows in Work Preparation.

Responsibilities

  • Lead digital transformation projects deploying unified platforms to streamline end-to-end Preparation Dossier creation across plants and FALs.
  • Define and set the ME Data Analytics Strategy and act as Data Custodian.
  • Drive process automation initiatives using RPA, ML, and AI solutions in the Work Preparation perimeter.
  • Ensure compliance and governance per Airbus Export Control Regulations with digital tools.
  • Provide technical expertise and change management to transnational teams through coaching and facilitation.
  • Support end-to-end data integration across SOI, BoM, Routing, and drawings.

Skills

Data analytics
AI foundations
Data governance
Stakeholder management
English negotiation

Education

Master's degree in Mechanical Engineering or IT

Tools

Palantir Foundry (Skywise)
RPA
Python/ML

Job description

Airbus Operations SL in Toulouse area seeks a Manufacturing Engineering Business Methods Engineer specializing in data analytics and foundations. You will lead digital transformation projects and define the ME data analytics strategy to improve decision-making across Work Preparation processes.

The role requires a Master’s degree, hands-on experience in Work Preparation, and strong AI/ML knowledge, with English proficiency for negotiations and travel readiness.

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