Senior Business Analyst - SE, MBSE & AI (f/m/d)
Airbus
- Location
- Toulouse Area
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 4, 2026
Skills
About this role
Job Description
Airbus Commercial Aircraft is looking for its new Senior Business Analyst - SE, MBSE & AI (f/m/d) to join our IT & Digital teams based in Toulouse, France . You will be part of a team developing digital transformation and emerging technology integration at the intersection of Business and IT. Within the IT & Digital department, you will be involved in aligning technological opportunities with operational requirements aimed at optimizing business processes through Systems Engineering (SE/MBSE), System Thinking, and Artificial Intelligence (AI). Designed to follow an expert career path, this position prepares you to eventually take on broader enterprise-level expert responsibilities, such as driving Centers of Excellence (CoE), Tech Forums, and Knowledge Management (KM) initiatives. Your working environment: Global capital of aeronautics and European capital for space research, Toulouse is a dynamic city in the southwest of France served by an international airport. Ideally located between the Mediterranean sea and the Atlantic ocean and close to the Pyrenees mountains, it offers plenty of options for outdoor activities! How we care for you: Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. Work / Life Balance: Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application. Individual development: Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. Your challenges: Strategic Vision & CoP Contribution: Help define the trajectory for future IT products and services, shape E2E PLM strategies, and drive Centers of Excellence (CoE), Tech Forums, and Knowledge Management. AI & Innovation Strategy: Identify areas for business process improvement through IT, focusing on use cases where AI, Agentic AI, and data analytics maximize operational efficiency. Functional Architecture & Design: Deliver technical/functional designs for applications and components, acting as the guardian of functional architecture, sizing, and data models (DM). Strategy & Planning: Formulate functional and non-functional requirements, advise on solution lifecycles, and support IT Product Managers with product roadmaps. Cross-Functional Liaison: Bridge the gap between Product Management and technical teams to ensure the integrity and performance of delivered solutions. Business Enablement & Change Management: Provide process reengineering expertise and guide users through the cultural, ethical, and operational shifts driven by AI adoption. Specifications & Documentation: Draft clear documentation (current challenges, future requirements, benefits) and define technical specifications with stakeholders. Your boarding pass:
Experience
Proven professional experience (at least 5 years) in Systems Engineering or Business Analysis within a complex environment. Technical Expertise: Deep practical knowledge of Systems Engineering (SE), Model-Based Systems Engineering (MBSE), and System Thinking frameworks. Process Engineering & Business Acumen: Strong understanding of legacy IT integration, digital transformation, and end-to-end business drivers. AI & Digital Literacy: Solid foundation in AI concepts (data requirements for machine learning, predictive modeling) and