Airbus

Lead Data & Analytics - AI & Advanced Analytics

Airbus • $120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data engineering or advanced analytics or 7+ years with a Master's degree.
  • Bachelor's degree required; Master's preferred in Computer Science, Data Science, or related fields.
  • Strong background leading digital initiatives in aerospace or similar sectors.
  • Proven experience mentoring junior developers and implementing code governance practices.
  • Expertise in the Palantir Skywise ecosystem with hands-on experience.

Responsibilities

  • Design, build, and maintain robust data pipelines within Palantir Skywise.
  • Oversee user enablement and scalability of enterprise analytics platforms like Alteryx and Tableau.
  • Serve as a technical authority, establishing development best practices and data governance.
  • Translate operational challenges into data requirements for regional teams.
  • Develop and deploy advanced analytics and AI applications in operational workflows.
  • Ingest and structure disparate data sources into usable feature sets.
  • Mentor junior data professionals and lead enablement workshops.

Benefits

  • Competitive base salary and profit-sharing opportunities.
  • Generous paid time off, including holidays and parental leave.
  • Comprehensive health and insurance coverage including medical, dental, and vision.
  • Access to over 10,000 e-learning courses for professional development.
  • Participation in global programs for accelerated career growth and relocation opportunities.
Full Job Description
Job Description:

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.

Meet the Team

Reporting directly to the Head of AI and Advanced Analytics, you will join a high-impact regional team that serves as the digital backbone for Airbus Americas. We bridge technical execution, data architecture, and practical AI application development. Our team collaborates directly with shop-floor managers, digital specialists, and executive leadership across commercial aviation and helicopter divisions to transform complex physical assembly, supply chain, and manufacturing challenges into scalable technical assets.

Your Working Environment

This role can be based in Mobile, Alabama; Grand Prairie, Texas; Herndon, Virginia or Atlanta, GA.

How We Care for You
  • Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan, and the ability to participate in an Employee Stock Ownership Plan ("ESOP").
  • Work/Life Balance: Paid time off including personal time, holidays, and a generous paid parental leave program.
  • Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan ("EAP"), and other supplemental benefit coverages.
  • Individual Development: Upskilling and development opportunities through our global Leadership University, including unlimited access to 10,000+ e-learning courses focusing on ways to develop your employability, certifications, career path, as well as the opportunity to participate in accelerated development programmes and both national and international mobility.

Your Challenges
1. Data & Skywise Architecture, Pipeline Engineering & SME Leadership
  • Skywise Engineering: 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.
  • Platform Administration & Enablement: Oversee administration, scalability, and user enablement for enterprise analytics platforms, including Alteryx and Tableau.

  • SME & Technical Governance: 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.
  • Business Translation: 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.

2. AI Solution Development & Hands-On Execution
  • AI Solution Engineering: 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.
  • Emerging AI Adoption: Pioneer internal adoption of emerging AI developer tooling (e.g., AIP Assist, Gemini, domain-tailored AI agents) to automate coding, documentation, and data cleansing.
  • Data Foundation for AI: Ingest, clean, catalog, and structure disparate data sources (APIs, databases, streaming feeds, flat files) into robust feature sets and Ontologies.
  • System Optimization & MLOps: Monitor, evaluate, and optimize existing analytical and AI applications to maintain low latency, reduce technical debt, and ensure continuous business value.

3. Technical Coaching, Upskilling & CoE Support
  • Upskilling & Workshops: Design, lead, and facilitate technical workshops and enablement sessions to expand analytics and AI adoption across regional worksites.
  • Technical Guidance: Mentor junior data analysts, engineers, and citizen developers, conducting peer code reviews to elevate technical excellence.
  • CoE Alignment: 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.

Your Boarding Pass
Experience & Education
  • Required Experience: Minimum of 10 years of professional experience in data engineering, advanced analytics, or business intelligence (or 7+ years with a Master's degree).
  • Education: Bachelor's degree in Computer Science, Data Science, Business Analytics, Engineering, Information Systems, or a quantitative field (Master's degree preferred).
  • Domain Track Record: Demonstrated experience leading digital initiatives and pipeline delivery within aerospace, manufacturing, transportation, or complex operational environments.
  • Leadership: Proven track record acting as a lead technical developer/SME, mentoring junior developers, and establishing code governance in agile teams.

Technical Capabilities & Skills
  • Palantir Ecosystem: 3+ years of deep, hands-on experience in Palantir Skywise (Pipeline Builder, Workshop, Slate, AIP Assist, Code Repository, Ontology, Contour, Code Workbook).
  • Core Languages: Advanced technical proficiency in Python, PySpark, SQL, and Spark SQL to build performant, fault-tolerant pipelines.
  • AI Engineering: Proven hands-on experience with GenAI models, prompt engineering, agentic workflows, and deploying AI/ML models into production workflows.
  • Enterprise BI: Expert knowledge of Tableau, Alteryx, and PowerBI.
  • Communication: Exceptional ability to translate complex data architectures and AI algorithms into actionable, plain-language business insights for non-technical leadership.
  • Languages: Fluent written and spoken English.

Desirable / Preferred Qualifications
  • 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).


Nature of Contacts:
  • Daily communication with Digital domain managers, Product Owners, data engineers, and AI delivery teams.
  • Daily interaction with internal and external stakeholders across multiple functional departments (shop floor, logistics, manufacturing) and executive leadership.
  • Regular collaboration with business unit representatives across Commercial Aviation (A320 FAL) and Airbus Helicopters.
  • Periodic alignment and technical coordination with global European IM and Skywise core platform teams.


Physical Requirements:
  • Onsite: 60%
  • Vision: Daily able to see and read computer screens and other electronic equipment with screens, able to read documents, reports and engineering drawings.
  • Hearing: Daily able to participate in conversations in person and via teleconference or phone and to hear sounds on the production floor including safety warnings or alarms.
  • Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications.
  • Equipment Operation: daily use of personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors.
  • Carrying: Daily able to carry documents, tools, drawings, electronic equipment up to 10lbs.
  • Sitting: Daily able to sit for long periods of time in meetings, working on the computer.
  • Standing: Daily able to stand for discussions in offices or on the production floor.
  • Travel: 10% of time able to travel independently and at short notice.
  • Walking : Daily able to walk through office and production areas including uneven surfaces.
  • Personal Protective Equipment required: Required PPE includes, but is not limited to, Safety Shoes, Safety Glasses, Hearing Protection, Respirators/Masks, and/or Protective Gloves as required by site and/or customer site


Company:
Airbus Americas, Inc.

Employment Type:
US - Direct Hire

Experience Level:
Professional

Remote Type:
On-site

Job Family:
Digital

About Airbus

Airbus SE is a European multinational aerospace corporation that designs, manufactures, and sells civil and military aeronautical products worldwide. The company operates in three segments: Airbus, Airbus Helicopters, and Airbus Defence and Space. The Airbus segment develops, manufactures, markets, and sells commercial jet aircraft of approximately 100 seats; and regional turboprop aircraft and aircraft components, as well as provides aircraft conversion and related services. The Airbus Helicopters segment develops, manufactures, markets, and sells civil and military helicopters; and offers helicopter related services. The Airbus Defence and Space segment develops, manufactures, markets, and sells military aircraft, such as combat, mission, transport, and tanker aircraft; and missile systems, military satellites, and defence electronics, as well as provides defence related services. The company was formerly known as Airbus Group SE and changed its name to Airbus SE in April 2017. Airbus SE was founded in 2000 and is headquartered in Blagnac, France.
Learn more about Airbus
Size
135,000 employees
Industry
Founded
2000

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