Manufacturing Engineering Business Methods Engineer - Data Analytics & AI

Getafe Area

Live, first seen by us 15 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Permanent · Full-time — employment source
Employment Type: Permanent------- Experience Level:
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead digital projects that unify end-to-end preparation dossier creation across plants
Define the department's data analytics strategy and act as data custodian
Drive RPA, machine learning and AI automation in work preparation
Enforce export control compliance and data consistency through digital tools
Coach local and transnational teams through change management and facilitation

From the employer’s posting

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.

What you’ll bring

All qualifications

Core experience

Experience: Hands-on experience in Manufacturing Engineering Work Preparation activities, along with proven project leadership and change management experience.

Qualification wording

Experience: Hands-on experience in Manufacturing Engineering Work Preparation activities, along with proven project leadership and change management experience.

Education & alternatives

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.

- 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?

Apply at AG

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Status in our records: Live
First seen by us: Oct 20, 202615 days ago
Recorded sightings: 40
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 15

Similar jobs usually come down between day 7 and day 53.

From 7,814 similar postings that came down. Coming down is not always a hire.

AG is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring has slowed
Takes jobs down quickly
5% of open jobs were reposted

Hiring record

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Where the posting names them

- 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?

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 <JF-MA-ME>

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.

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