AI & Operational Data Intelligence SpecialistPosition ObjectiveTransform operational data into automated, reliable, and actionable intelligence to accelerate decision-making across Manufacturing, Quality, Supply Chain, Logistics, Planning, and Engineering.The position will be responsible for developing and implementing data automation, Business Intelligence, Artificial Intelligence, and predictive analytics solutions that improve operational visibility, productivity, quality, cost, and overall business performance.Key Responsibilities.1.
Data Automation & IntegrationAutomate data extraction, cleansing, transformation, and consolidation from multiple operational systems.Integrate information from ERP, MES, production systems, quality databases, Excel files, SQL databases, APIs, and other operational sources.Reduce manual data manipulation and reporting activities.2.
Business Intelligence & Operational Analytics.Design and develop automated dashboards for Production, Quality, Logistics, Planning, Engineering, and Management.Develop KPI monitoring systems and management scorecards.Implement automated reporting and exception-based notifications.Transform operational data into actionable insights for management.3.
Artificial Intelligence & Predictive AnalyticsIdentify opportunities to apply AI and Machine Learning to manufacturing and business processes.Develop predictive models for areas such as:Capacity and demandDowntimeInventoryDelivery performanceProcess deviationsImplement anomaly detection and early-warning systems.Evaluate and implement Generative AI and LLM-based solutions where they provide measurable business value.4.




Real-Time Operational IntelligenceDevelop solutions for real-time or near-real-time performance monitoring.Create automated alerts when KPIs exceed defined thresholds.Support management with proactive rather than reactive decision-making.5.
Data GovernanceEstablish standards for data quality, ownership, validation, and traceability.Develop a reliable "single source of truth" for key operational KPIs.Document data sources, transformations, calculations, and business rules.6.
User Enablement & AI AdoptionTrain operational and management users on BI, analytics, automation, and AI tools.Promote data-driven decision-making across the organization.Identify repetitive analytical and administrative activities that can be automated using AI.EducationBachelor's degree in:Data ScienceArtificial IntelligenceSoftware EngineeringIndustrial EngineeringMechatronicsInformation TechnologyApplied Mathematicsor related field.Master's degree in data science, AI, Analytics, or similar fields is desirable but not required.ExperiencePreferred: 2–4 years of professional experience, including:Data Analytics / Business IntelligenceData EngineeringProcess automationManufacturing or operational analyticsAI / Machine Learning implementationTechnical SkillsRequiredPythonSQLPower BIAdvanced ExcelData modelingETL / ELTAPIsPower QueryPower AutomateGitPreferredMicrosoft Fabric / AzureDatabricksSnowflakeMLflowScikit-learnTensorFlow / PyTorchOpenAI / Azure OpenAI APIsLLMs and Generative AIRAG architecturesMicrosoft Copilot ecosystemERP / MES integrationCompetenciesStrong analytical and structured thinkingProblem-solvingBusiness-oriented mindsetAbility to translate operational problems into digital solutionsHigh degree of autonomyCommunication with both technical and non-technical stakeholdersContinuous improvement mindsetProject managementAbility to prioritize projects based on business impactLanguagesSpanish: Native / AdvancedEnglish: Advanced business and technical communicationYou will receive a confirmation email to continue in the selection process.

📌 Operational Data Intelligence Specialist (San Luis Potosí)
🏢 Importante Empresa Del Sector De Manufactura
📍 San Luis Potosí