CareerMoonshot

Lead Data & Analytics – AI & Advanced Analytics

Ag · Virginia

📍 Herndon, VAvia workdayFirst listed here 2026-09-28
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Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at [email protected] Notice: Know Your Rights: Workplace Discrimination is Illegal Notice: Pay Transparency Nondiscrimination   (English) Aviso: Transparencia en el Pago No Discriminación  (Spanish) 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 t

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