Business Data Modeler for Quality (H/F)

Job Description:

Airbus Commercial Aircraft is looking for a Business Data Modeler (f/m) to join our Operations Data & Analytics Factory department based in Toulouse, France. You will be part of a team developing our operations data foundations.

As part of the Data & AI Factory team, you will be involved in driving the Procurement & Supply Chain data model aiming at securing aircraft deliveries on time and with the required quality.

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:

• Translate user requirements into data model entities and define the Data Products roadmap.
• Specify the complete definition of Data Products, including expected service quality levels.
• Integrate centralized evolution or analysis requests into ServiceNow or Jira.
• Deploy the Data Product Management methodology to create and evolve deliverables.
• Track technical and metrological progress of schedules committed with IM teams.

Your boarding pass:

• First successful professional experience in data management, analysis, or governance.
• Technical expertise in data modeling (e.g., SAP HANA, SAP ARP) and Data Product Management frameworks.
• Functional knowledge of Procurement & Supply Chain processes in an industrial environment.
• Proficiency in project management and ticketing tools (Jira, ServiceNow).
• English: Negotiation level required.

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. Take your career to a new level and apply online now!

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This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company: AIRBUS SAS

Employment Type: Permanent

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Classe Emploi (France): Classe G13

Experience Level: Professional

Job Family: Digital <JF-IM-DI>

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

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.