Data Analytics, Data Science & AI Manager (D/F/M)

About us

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

Job description

As a Data Analytics, Data Science & AI Manager, you will lead the strategic transformation of complex operational data into cutting-edge AI and advanced analytics solutions. Operating at the intersection of supply chain execution, predictive engineering, and machine learning, you will drive the design and deployment of end-to-end data products, automated workflows, and enterprise AI models across the Procurement Operations Cabin Supply Chain and Quality environment. Bridging the gap between modern IT infrastructure and core business operations, you will serve as a key technical leader—fostering an AI-first, data-driven culture to optimize end-to-end performance and business excellence.

Your location

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautical legacy.

Your benefits

• Fair Compensation & Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines
• Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities
• Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives
• Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations
• Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA

Your tasks and responsibilities

• AI Strategy, Data Science & Predictive Analytics: Architect intelligent automation workflows and decision-support systems that embed AI directly into daily operational and procurement processes
• Data Architecture, Pipeline & Data Engineering Leadership: Ensure robust data governance, pipeline efficiency, and data quality standards across all analytics products
• Analytics Delivery, Stakeholder Management & Visualization: Serve as the primary technical interface and thought partner between operational business units, executive stakeholders, and the broader IT/Data engineering ecosystem
• Process Engineering & Operational Impact: Identify high-impact opportunities where advanced analytics, natural language processing, and computer vision/ML can drive process efficiency, cost reduction, and quality improvement

Your boarding pass

• Master’s degree in Data Science, Computer Science, Artificial Intelligence, Business Analytics, Operations Research or a related quantitative field
• Deep expertise in Data Engineering / Data modeling and business intelligence tools (e.g., Skywise, Power BI, Tableau)
• Domain & Process Expertise: Proven track record leading data science initiatives within aerospace, automotive, supply chain, or complex manufacturing industries. Solid foundation in continuous improvement methodologies (Lean, Six Sigma, Agile/Scrum)
• Outstanding ability to articulate complex technical architectures, model outcomes, and AI capabilities to non-technical executive leadership and cross-functional teams
• ​Advanced proficiency in Python and production-grade SQL (skills in R or additional languages are a plus)
• Ideally, proven hands-on experience deploying Machine Learning algorithms, predictive analytics, or enterprise AI/LLM solutions in operational environments
• Languages: Fluency in English is required; German skills are beneficial

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

Disabled applicants will be given preference in case of equal qualification.

Ready for take-off?

Apply now with your resume, salary expectations and notice period to take your career to the next level!

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

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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.

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.