Lead Data & Analytics – AI & Advanced Analytics

Airbus•Herndon, VA

23h•Onsite

About The Position

Airbus North America Information Management (IM) is looking for a Lead Data & Analytics / AI Developer to join our AI and Advanced Analytics team. You will be part of a team developing cutting-edge AI, machine learning, and enterprise data architecture. As part of the AI and Advanced Analytics team, you will be involved in leading data engineering and Palantir Skywise integration aiming at optimizing operational decision-making, assembly line efficiency, and productivity across North American business divisions.

Requirements

Minimum of 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, Business Analytics, Engineering, Information Systems, or a quantitative field (Master’s degree preferred).
Demonstrated experience leading digital initiatives and pipeline delivery within aerospace, manufacturing, transportation, or complex operational environments.
Proven track record acting as a lead technical developer/SME, mentoring junior developers, and establishing code governance in agile teams.
3+ years of deep, hands-on experience in Palantir Skywise (Pipeline Builder, Workshop, Slate, AIP Assist, Code Repository, Ontology, Contour, Code Workbook).
Advanced technical proficiency in Python, PySpark, SQL, and Spark SQL to build performant, fault-tolerant pipelines.
Proven hands-on experience with GenAI models, prompt engineering, agentic workflows, and deploying AI/ML models into production workflows.
Expert knowledge of Tableau, Alteryx, and PowerBI.
Exceptional ability to translate complex data architectures and AI algorithms into actionable, plain-language business insights for non-technical leadership.
Fluent written and spoken English.

Nice To Haves

Prior experience in an international corporate environment with transatlantic cross-border coordination.
Experience with cloud platforms (GCP, AWS, Azure), containerization (Docker, Kubernetes), and MLOps pipelines.
Palantir Foundry / Skywise Certifications.
SAFe Agile Certification or PMP credentials.
Cloud or Data Engineering certifications (Databricks, AWS, Azure, GCP).

Responsibilities

Design, build, and maintain robust, scalable end-to-end data pipelines and analytical workflows within Palantir Skywise (utilizing Code Repository, Pipeline Builder, Ontology, Slate, AIP Assist, and Workshop) to transform complex aviation manufacturing and flight data into operational insights.
Oversee administration, scalability, and user enablement for enterprise analytics platforms, including Alteryx and Tableau.
Act as the principal technical authority for Data Engineering and Palantir Skywise across North America Digital; establish development best practices, enforce data governance/security, and continuously optimize data assets.
Partner with operational leadership across regional worksites (e.g., Mobile, AL, and Grand Prairie, TX) to translate assembly, logistics, and supply chain challenges into technical data requirements and data products.
Work hands-on to build and deploy advanced analytics and AI applications, integrating Generative AI, machine learning pipelines, and custom AI personas into operational workflows.
Pioneer internal adoption of emerging AI developer tooling (e.g., AIP Assist, Gemini, domain-tailored AI agents) to automate coding, documentation, and data cleansing.
Ingest, clean, catalog, and structure disparate data sources (APIs, databases, streaming feeds, flat files) into robust feature sets and Ontologies.
Monitor, evaluate, and optimize existing analytical and AI applications to maintain low latency, reduce technical debt, and ensure continuous business value.
Design, lead, and facilitate technical workshops and enablement sessions to expand analytics and AI adoption across regional worksites.
Mentor junior data analysts, engineers, and citizen developers, conducting peer code reviews to elevate technical excellence.
Partner with the North American AI Center of Excellence (CoE) to build capability, establish execution templates, and foster a data-driven, AI-first culture across Airbus Americas.

Benefits

Competitive base salary
incentive compensation which may include profit sharing schemes
retirement savings plan
Employee Stock Ownership Plan (“ESOP”)
Paid time off
personal time
holidays
generous paid parental leave program
Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (“EAP”)
other supplemental benefit coverages
Upskilling and development opportunities through our global Leadership University
unlimited access to 10,000+ e-learning courses
accelerated development programmes
national and international mobility
relocation assistance