Lead Data & Analytics – AI, Advanced Analytics

Airbus

. Lead data engineering and Palantir Skywise integration to optimize operational decision-making, assembly line efficiency, and productivity across North American business divisions .

Posted 9/23/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Advanced Analytics, with a strong focus on Palantir Skywise integration and the development of scalable data pipelines. Proven ability to lead technical teams, mentor junior staff, and drive AI application deployment in complex operational environments.

Highest-signal resume keywords

Data EngineeringPalantir SkywisePythonAdvanced AnalyticsAI/ML Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQLPySparkSpark SQLGenAI ModelsPrompt EngineeringData GovernanceAnalytical WorkflowsFeature EngineeringData Cataloging

Soft Skills

MentoringCollaborationCommunicationLeadership

Tools & Technologies

TableauAlteryxPowerBIGCPAWSAzureDockerKubernetesMLOps PipelinesAIP Assist

Certifications & Qualifications

Palantir Foundry CertificationSAFe Agile CertificationPMP CredentialsCloud Engineering Certifications

Industry Keywords

AerospaceManufacturingTransportationOperational EnvironmentsDigital Initiatives

Tech Stack

Tools & technologies

AssemblyAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPMPPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Lead data engineering and Palantir Skywise integration to optimize operational decision-making, assembly line efficiency, and productivity across North American business divisions
Design, build, and maintain scalable end-to-end data pipelines and analytical workflows within Palantir Skywise
Transform aviation manufacturing and flight data into operational insights
Oversee administration, scalability, and user enablement for Alteryx and Tableau
Act as principal technical authority for Data Engineering and Palantir Skywise across North American Digital
Establish development best practices, enforce data governance and security, and optimize data assets
Partner with operational leadership to translate assembly, logistics, and supply chain challenges into technical data requirements and products
Build and deploy advanced analytics and AI applications using Generative AI, machine learning pipelines, and custom AI personas
Drive adoption of AI developer tooling such as AIP Assist, Gemini, and domain-tailored AI agents
Ingest, clean, catalog, and structure data from APIs, databases, streaming feeds, and flat files into feature sets and Ontologies
Monitor, evaluate, and optimize analytical and AI applications to maintain low latency, reduce technical debt, and ensure business value
Lead technical workshops and enablement sessions across regional worksites
Mentor junior data analysts, engineers, and citizen developers and conduct peer code reviews
Partner with the North American AI Center of Excellence to build capability and execution templates
Communicate daily with Digital domain managers, Product Owners, data engineers, AI delivery teams, internal and external stakeholders, and executive leadership
Collaborate with Commercial Aviation, Airbus Helicopters, and global European IM and Skywise core platform teams
Work onsite 60% of the time and travel 10% of the time

Requirements

What you’ll need

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
Demonstrated experience leading digital initiatives and pipeline delivery within aerospace, manufacturing, transportation, or complex operational environments
Proven experience 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
Advanced technical proficiency in Python, PySpark, SQL, and Spark SQL
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
Fluent written and spoken English
Current work authorization for the United States; Airbus does not sponsor visas for US positions unless specified
Preferred: Master’s degree
Preferred: Prior experience in an international corporate environment with transatlantic cross-border coordination
Preferred: Experience with GCP, AWS, Azure, Docker, Kubernetes, and MLOps pipelines
Preferred: Palantir Foundry / Skywise Certifications
Preferred: SAFe Agile Certification or PMP credentials
Preferred: Cloud or Data Engineering certifications (Databricks, AWS, Azure, GCP)

Benefits

Comp & perks

Competitive base salary
Incentive compensation, which may include profit sharing schemes
Retirement savings plan
Ability to participate in an Employee Stock Ownership Plan (ESOP)
Paid time off, including personal time and holidays
Generous paid parental leave program
Comprehensive medical insurance, including traditional and high-deductible health plans
Prescription, dental, and vision insurance
Life and disability insurance
Employee Assistance Plan (EAP)
Other supplemental benefit coverages
Upskilling and development opportunities through global Leadership University
Unlimited access to 10,000+ e-learning courses
Certification and career-path development opportunities
Accelerated development programmes
National and international mobility opportunities
Relocation assistance for qualified positions
Personal protective equipment provided as required by site or customer site