{"id":1164487,"url":"https://alion.io/job/airbus-lead-data-analytics-ai-advanced-analytics","title":"Lead Data & Analytics – AI & Advanced Analytics","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":171,"ghost_share":0,"stale_share":0.088,"repost_share":0.053,"time_to_fill_p50_days":20,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, United States","Grand Prairie, United States","Atlanta, United States","Miami, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":294000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":483},"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-05T00:43:41Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"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 \nNotice: Know Your Rights: Workplace Discrimination is Illegal\n Notice: Pay Transparency Nondiscrimination (English)\n Aviso: Transparencia en el Pago No Discriminación (Spanish)\nJob Description:\nAirbus North America Information Management (IM) is looking for a Lead Data & Analytics / AI Developer to join our AI and Advanced Analytics team.\nYou 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.\nMeet the Team\nReporting 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.\nYour Working Environment\nThis role can be based in Mobile, Alabama; Grand Prairie, Texas; Herndon, Virginia or Atlanta, GA.\nHow We Care for You\n 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”).\nWork/Life Balance: Paid time off including personal time, holidays, and a generous paid parental leave program.\n 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.\nIndividual 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.\nYour Challenges\n1. 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.\nPlatform Administration & Enablement: Oversee administration, scalability, and user enablement for enterprise analytics platforms, including Alteryx and Tableau.\nSME & 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.\n 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.\n2. AI Solution Development & Hands-On Execution\nAI 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.\n 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.\n Data Foundation for AI: Ingest, clean, catalog, and structure disparate data sources (APIs, databases, streaming feeds, flat files) into robust feature sets and Ontologies.\nSystem Optimization & MLOps: Monitor, evaluate, and optimize existing analytical and AI applications to maintain low latency, reduce technical debt, and ensure continuous business value.\n3. Technical Coaching, Upskilling & CoE Support\nUpskilling & Workshops: Design, lead, and facilitate technical workshops and enablement sessions to expand analytics and AI adoption across regional worksites.\nTechnical Guidance: Mentor junior data analysts, engineers, and citizen developers, conducting peer code reviews to elevate technical excellence.\n 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.\nYour Boarding Pass\nExperience & 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).\n Education: Bachelor’s degree in Computer Science, Data Science, Business Analytics, Engineering, Information Systems, or a quantitative field (Master’s degree preferred).\nDomain Track Record: Demonstrated experience leading digital initiatives and pipeline delivery within aerospace, manufacturing, transportation, or complex operational environments.\nLeadership: Proven track record acting as a lead technical developer/SME, mentoring junior developers, and establishing code governance in agile teams.\nTechnical Capabilities & Skills\n Palantir Ecosystem: 3+ years of deep, hands-on experience in Palantir Skywise (Pipeline Builder, Workshop, Slate, AIP Assist, Code Repository, Ontology, Contour, Code Workbook).\nCore Languages: Advanced technical proficiency in Python, PySpark, SQL, and Spark SQL to build performant, fault-tolerant pipelines.\nAI Engineering: Proven hands-on experience with GenAI models, prompt engineering, agentic workflows, and deploying AI/ML models into production workflows.\nEnterprise BI: Expert knowledge of Tableau, Alteryx, and PowerBI.\nCommunication: Exceptional ability to translate complex data architectures and AI algorithms into actionable, plain-language business insights for non-technical leadership.\nLanguages: Fluent written and spoken English.\nDesirable / Preferred Qualifications\nPrior experience in an international corporate environment with transatlantic cross-border coordination.\nExperience with cloud platforms (GCP, AWS, Azure), containerization (Docker, Kubernetes), and MLOps pipelines.\nPalantir Foundry / Skywise Certifications.\nSAFe Agile Certification or PMP credentials.\nCloud or Data Engineering certifications (Databricks, AWS, Azure, GCP).\nNature of Contacts:\nDaily communication with Digital domain managers, Product Owners, data engineers, and AI delivery teams.\nDaily interaction with internal and external stakeholders across multiple functional departments (shop floor, logistics, manufacturing) and executive leadership.\nRegular collaboration with business unit representatives across Commercial Aviation (A320 FAL) and Airbus Helicopters.\nPeriodic alignment and technical coordination with global European IM and Skywise core platform teams.\nPhysical Requirements:\nOnsite: 60% \nVision: Daily able to see and read computer screens and other electronic equipment with screens, able to read documents, reports and engineering drawings. \nHearing: 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. \nSpeaking: Daily able to speak in conversations and meetings, deliver information and participate in communications. \nEquipment Operation: daily use of personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors.\nCarrying: Daily able to carry documents, tools, drawings, electronic equipment up to 10lbs.\nSitting: Daily able to sit for long periods of time in meetings, working on the computer. \nStanding: Daily able to stand for discussions in offices or on the production floor. \nTravel: 10% of time able to travel independently and at short notice.\nWalking : Daily able to walk through office and production areas including uneven surfaces.\nPersonal 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\nEqual Opportunity:\nAll qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status\nAs a leader in our field, Airbus provides relocation assistance for qualified positions and a comprehensive compensation and benefits package.\nAs a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered.\nAirbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice.\nNOTE: Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position description does not constitute a written or implied contract of employment.\nThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.\nCompany:\nAirbus Americas, Inc.Employment Type:\nUS - Direct HireExperience Level:\nProfessionalRemote Type:\nOn-siteJob Family:\nDigital ------\n------\nAirbus provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. In addition to federal law requirements, Airbus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, demotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training. Airbus expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. As a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered. Airbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice. Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position description does not constitute a written or implied contract of employment.By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.\nAirbus is committed to achieving workforce diversity and creating an inclusive working environment. 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