Manufacturing Engineering Business Methods Engineer - Data Analytics & AI

An opportunity for a Manufacturing Engineering Business Methods Engineer - Data Analytics & Foundations has arisen within Airbus Operations, Getafe (Madrid).

The selected candidate will join the Central Manufacturing Engineering Work Preparation (OMMD) team within the Airbus Production System Efficiency organization. Responsible for Work Preparation processes, methods, tools, and competencies across all Airbus plants, Final Assembly Lines (FALs), and aircraft programs, our department focuses on deploying efficient production solutions to enable industrial excellence and support company profitability.

The jobholder will reinforce our team by leading transformational digital projects targeting the Manufacturing Engineering Work Preparation community, leveraging Data Analytics, Automation, and Artificial Intelligence to improve decision-making and operational efficiency.

The main tasks of the jobholder will be:

• Lead digital transformation projects by deploying unified platforms (e.g., MEGA) to streamline end-to-end Preparation Dossier creation (PFMEA, Routing, SOI, Work Order Release) across plants and FALs.
• Define and set the ME Data Analytics Strategy for the department while acting as the Data Custodian and main link to Data Governance teams.
• Drive process automation initiatives through the deployment of RPA, Machine Learning, and Artificial Intelligence solutions within the Work Preparation perimeter.
• Ensure compliance and governance by enforcing Airbus Export Control Regulations through specialized digital tools (e.g., tagging tools) and maintaining data consistency.
• Provide technical expertise and change management to local/transnational teams through digital coaching, communication, and facilitation.
• Support end-to-end data integration across business objects (SOI, BoM, Routing, Drawing) across all aircraft programs and shop floor guidance functions.

Is your profile aligned to the following list of skills? Apply! We are looking forward to knowing you:

• Education: 5-year degree (Master's or equivalent) in Mechanical Engineering, IT, or a related engineering field.
• Experience: Hands-on experience in Manufacturing Engineering Work Preparation activities, along with proven project leadership and change management experience.
• Technical knowledge: Expertise in Palantir Foundry (Skywise) or programming, strong knowledge of Artificial Intelligence foundations, and deep understanding of ME Work Preparation end-to-end data flows.
• Languages: English at a negotiation level.
• Soft skills: Excellent stakeholder management, strong negotiation and communication skills, ability to work in a transnational environment, and availability to travel.
• Valuable / Nice to have: Master's degree in Data Analytics, Digital Transformation, or AI; knowledge of AWS, GCP, RPA, Machine Learning, Airbus Export Control Regulations; and proficiency in French, German, or Spanish.

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.

Permanent

-------

Professional

Manufacturing Engineering

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.