Manufacturing Engineering Business Methods Engineer - Data Analytics & AI

Job Description:

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.

RESPONSIBILITIES

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.

SKILLS

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.

WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days plus additional days-off along the year.
• Attractive salary.
• Hybrid model of working when possible.
• Collective transport service subject to working calendar/home location.
• Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities (among others): free canteen, kindergarten, medical office.
• Possibility to collaborate in different social and corporate social responsibility initiatives.
• Excellent upskilling opportunities and great development prospects in a multicultural environment.
• Option to access special rates in products & benefits.

#MYCYM

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 Operations SL

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Manufacturing Engineering

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