Data & AI Specialist

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When 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.

Summary The 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. This 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. The position works closely with Operations, Engineering, Quality, Supply Chain, IT, and business stakeholders to unlock business value from data and AI.

Data Governance & Data Standards Establish and maintain the factory data governance framework, standards, and best practices. Define and manage: Data quality rules Data quality monitoring KPIs Data ownership and stewardship processes Data lifecycle management standards Develop and maintain Data Owner and Data Steward responsibility matrices. Conduct regular data quality assessments and drive corrective actions. Ensure consistency, accuracy, completeness, and reliability of critical business data. Data Architecture & Master Data Management Design and maintain manufacturing data models and data architecture. Develop and govern: Master data standards Data dictionary Metadata management Naming conventions Data flow documentation Establish common KPI definitions and business metric standards across functions. Support enterprise-wide master data governance initiatives. Data Collection & Integration Drive structured digital data collection at the source to reduce manual spreadsheets and offline records. Design and implement automated data acquisition solutions. Integrate data from: ERP systems MES systems Quality systems Supply chain systems Production equipment IoT devices Define data interface standards and integration requirements. Support development of scalable data pipelines and digital platforms. Analytics Platform & Decision Support Support development and optimization of data warehouse and analytics solutions. Build and maintain data models that enable operational and management reporting. Develop dashboards and visualization solutions using enterprise BI platforms. Translate business requirements into meaningful insights and performance indicators. Enable self-service analytics capabilities for business users. AI Strategy & Use Case Development Support development of factory AI roadmap aligned with smart manufacturing and business strategies. Identify, evaluate, and prioritize high-value AI use cases. Establish processes for: AI opportunity assessment Feasibility analysis Solution validation Benefits tracking Monitor emerging AI technologies and evaluate business applicability. AI Solution Deployment Lead and support implementation of manufacturing AI applications, including: Computer Vision Automated Quality Inspection Predictive Maintenance Process Optimization Production Scheduling Optimization Quality Analytics Root Cause Analysis Safety Monitoring Energy Management Work closely with business teams, IT partners, and vendors to ensure successful deployment and adoption. Generative AI & Productivity Enablement Drive GenAI adoption across the factory through: Knowledge management solutions Enterprise knowledge bases Digital assistants and AI agents Copilot enablement Workflow automation Power Platform applications Office productivity automation