Data Analytics, Data Science & AI Manager

About the role

As the Data Analytics, Data Science & AI Manager you will lead the transformation of complex operational data into AI‑driven solutions for Airbus’ Procurement Operations Cabin Supply Chain and Quality environment. Based at the largest civil‑aircraft production site on the banks of the Elbe in Hamburg, you will bridge modern IT infrastructure with core business processes to foster an AI‑first, data‑driven culture.

Key responsibilities

• Design and deploy end‑to‑end data products, automated workflows and enterprise AI models that embed predictive analytics into daily procurement and operational processes.
• Lead data architecture, pipeline efficiency and data‑governance initiatives, ensuring high data quality across all analytics solutions.
• Act as the primary technical interface between business units, executive stakeholders and the IT/Data engineering ecosystem, delivering visualisations and decision‑support tools.
• Identify high‑impact use cases for advanced analytics, natural‑language processing, computer‑vision and machine‑learning to improve process efficiency, reduce cost and enhance quality.

Required profile

• Master’s degree in Data Science, Computer Science, AI, Business Analytics, Operations Research or a related quantitative field.
• Proven track record leading data‑science initiatives in aerospace, automotive, supply‑chain or complex manufacturing environments.
• Strong ability to communicate technical architectures and AI outcomes to non‑technical executive audiences.
• Fluency in English; German is a plus.

Required skills

• Advanced proficiency in Python and production‑grade SQL (R is a plus).
• Experience with data‑engineering, data‑modeling and BI tools such as Skywise, Power BI and Tableau.
• Hands‑on experience deploying machine‑learning algorithms, predictive analytics or enterprise AI/LLM solutions in operational settings.
• Knowledge of continuous‑improvement methodologies (Lean, Six Sigma, Agile/Scrum).

What we offer

• Attractive remuneration with individual benefits (pension scheme, bike‑leasing, corporate discounts).
• 30 days of annual leave, flexible working hours, mobile and part‑time options, and sabbatical opportunities.
• Professional development programmes, international career perspectives and on‑site health services.
• Diverse, inclusive environment with more than 140 nationalities.