Lead Data & Analytics – AI & Advanced Analytics

About the role

Airbus North America Information Management is seeking a Lead Data & Analytics professional to join its AI and Advanced Analytics team. You will design and operate data pipelines, integrate Palantir Skywise, and develop AI solutions that improve assembly line efficiency and operational decision‑making across North American business units.

Key responsibilities

• Design, build, and maintain end‑to‑end data pipelines and analytical workflows within Palantir Skywise, including code repository, pipeline builder, ontology, and AI assist tools.
• Oversee platform administration and user enablement for enterprise analytics tools such as Alteryx and Tableau.
• Act as the technical authority for Data Engineering and Palantir Skywise, establishing best practices, data governance, and security.
• Partner with operational leaders to translate assembly, logistics and supply‑chain challenges into data products.
• Develop and deploy advanced analytics and AI applications, integrating generative AI, machine‑learning pipelines and custom AI personas.
• Lead adoption of emerging AI developer tooling, automate coding, documentation and data cleansing.
• Mentor junior analysts and engineers, conduct code reviews and deliver technical workshops.

Required profile

• Minimum 10 years of professional experience in data engineering, advanced analytics or business intelligence (or 7+ years with a Master’s degree).
• Bachelor’s degree in Computer Science, Data Science, Engineering or a quantitative field (Master’s preferred).
• Proven experience leading digital initiatives in aerospace, manufacturing or complex operational environments.
• Demonstrated leadership as a technical lead/SME, mentoring junior staff and enforcing code governance.

Required skills

• Hands‑on experience with Palantir Skywise ecosystem (pipeline builder, workshop, ontology, etc.).
• Advanced proficiency in Python, PySpark, SQL and Spark SQL.
• Experience with generative AI models, prompt engineering and AI/ML production deployment.
• Expert knowledge of Tableau, Alteryx and PowerBI.
• Familiarity with cloud platforms (GCP, AWS, Azure), containerisation (Docker, Kubernetes) and MLOps pipelines.

What we offer

• Competitive base salary, incentive compensation and profit‑sharing schemes.
• Comprehensive health, dental, vision and life insurance, plus retirement savings plan and ESOP participation.
• Paid time off, parental leave and flexible work‑life balance.
• Access to unlimited e‑learning courses, leadership university and global mobility opportunities.