{"id":473148,"url":"https://alion.io/job/caterpillar-data-ai-specialist","title":"Data & AI Specialist","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":143,"ghost_share":0,"stale_share":0.133,"repost_share":0.021,"time_to_fill_p50_days":32,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":78000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Microsoft Fabric","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-09T16:14:32Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":66},"description":"Career Area:\nEngineeringJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nPosition Summary\nThe Data & AI Specialist is responsible for developing and enabling the factory's data and AI capabilities through data governance, data architecture, analytics platforms, and AI solution deployment.\nThis role serves as the subject matter expert for manufacturing data and AI technologies, driving the establishment of data standards, data quality systems, digital platforms, and AI applications that support operational excellence and smart manufacturing transformation.\nThe position works closely with Operations, Engineering, Quality, Supply Chain, IT, and business stakeholders to unlock business value from data and AI.\nKey Responsibilities\nData Governance & Data Standards\nEstablish and maintain the factory data governance framework, standards, and best practices.\n\nDefine and manage:\nData quality rules\n\nData quality monitoring KPIs\n\nData ownership and stewardship processes\n\nData lifecycle management standards\n\nDevelop and maintain Data Owner and Data Steward responsibility matrices.\n\nConduct regular data quality assessments and drive corrective actions.\n\nEnsure consistency, accuracy, completeness, and reliability of critical business data.\n\nData Architecture & Master Data Management\nDesign and maintain manufacturing data models and data architecture.\n\nDevelop and govern:\nMaster data standards\n\nData dictionary\n\nMetadata management\n\nNaming conventions\n\nData flow documentation\n\nEstablish common KPI definitions and business metric standards across functions.\n\nSupport enterprise-wide master data governance initiatives.\n\nData Collection & Integration\nDrive structured digital data collection at the source to reduce manual spreadsheets and offline records.\n\nDesign and implement automated data acquisition solutions.\n\nIntegrate data from:\nERP systems\n\nMES systems\n\nQuality systems\n\nSupply chain systems\n\nProduction equipment\n\nIoT devices\n\nDefine data interface standards and integration requirements.\n\nSupport development of scalable data pipelines and digital platforms.\n\nAnalytics Platform & Decision Support\nSupport development and optimization of data warehouse and analytics solutions.\n\nBuild and maintain data models that enable operational and management reporting.\n\nDevelop dashboards and visualization solutions using enterprise BI platforms.\n\nTranslate business requirements into meaningful insights and performance indicators.\n\nEnable self-service analytics capabilities for business users.\n\nAI Strategy & Use Case Development\nSupport development of factory AI roadmap aligned with smart manufacturing and business strategies.\n\nIdentify, evaluate, and prioritize high-value AI use cases.\n\nEstablish processes for:\nAI opportunity assessment\n\nFeasibility analysis\n\nSolution validation\n\nBenefits tracking\n\nMonitor emerging AI technologies and evaluate business applicability.\n\nAI Solution Deployment\nLead and support implementation of manufacturing AI applications, including:\nComputer Vision\n\nAutomated Quality Inspection\n\nPredictive Maintenance\n\nProcess Optimization\n\nProduction Scheduling Optimization\n\nQuality Analytics\n\nRoot Cause Analysis\n\nSafety Monitoring\n\nEnergy Management\n\nWork closely with business teams, IT partners, and vendors to ensure successful deployment and adoption.\nGenerative AI & Productivity Enablement\nDrive GenAI adoption across the factory through:\nKnowledge management solutions\n\nEnterprise knowledge bases\n\nDigital assistants and AI agents\n\nCopilot enablement\n\nWorkflow automation\n\nPower Platform applications\n\nOffice productivity automation\n\nPromote practical GenAI use cases that improve employee productivity and business efficiency.\nAI Governance & Risk Management\nSupport establishment of AI governance processes and standards.\n\nMonitor AI solution performance and business outcomes.\n\nAssist in managing:\nModel lifecycle\n\nCompliance requirements\n\nData privacy\n\nRisk controls\n\nAI usage guidelines\n\nEnsure responsible and sustainable AI implementation.\n\nData Security & Compliance\nSupport implementation of data security and access control policies.\n\nEnsure compliance with corporate data governance requirements.\n\nDefine data retention and archival standards.\n\nProtect sensitive business and operational information.\n\nCapability Building & Training\nPromote data-driven decision making across the factory.\n\nDevelop and deliver training programs on:\nData literacy\n\nAnalytics\n\nAI fundamentals\n\nGenAI tools\n\nCitizen development\n\nPower Platform\n\nCoach business teams on data and AI best practices.\n\nQualifications\nEducation\nBachelor's degree or higher in:\nData Science\n\nComputer Science\n\nInformation Systems\n\nIndustrial Engineering\n\nManufacturing Engineering\n\nArtificial Intelligence\n\nStatistics\n\nRelated disciplines\n\nExperience\n5+ years of experience in data analytics, data engineering, digital transformation, AI, or manufacturing systems.\n\nExperience implementing data governance programs.\n\nExperience with manufacturing data environments preferred.\n\nExperience delivering analytics or AI solutions in industrial settings preferred.\n\nTechnical Skills\nStrong experience in:\nData Governance\n\nMaster Data Management\n\nData Modeling\n\nSQL\n\nData Warehousing\n\nETL / ELT Processes\n\nPower BI\n\nAzure Data Platform\n\nAI / Machine Learning Fundamentals\n\nGenerative AI Technologies\n\nMicrosoft Copilot\n\nPower Platform\n\nKnowledge of manufacturing systems:\nSAP / ERP\n\nMES\n\nIoT Platforms\n\nSCADA\n\nHistorian Systems\n\nPreferred Qualifications\nCDMP (Certified Data Management Professional)\n\nDAMA Data Governance Knowledge\n\nMicrosoft Fabric, Azure AI, or equivalent cloud certifications\n\nExperience in Industry 4.0 or Smart Manufacturing programs\n\nExperience deploying AI solutions in manufacturing environments\n\nThis position requires the candidate to work a 5-day-a-week schedule in the office.\nAbout Caterpillar\nCaterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.\nThis position requires working onsite five days a week.Visa Sponsorship is not available for this position.Posting Dates:\n十月 26, 2026 - 十一月 8, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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