AI & Operational Data Intelligence Specialist Position Objective Transform 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. Data Automation & Integration Automate 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. 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. Artificial Intelligence & Predictive Analytics Identify opportunities to apply AI and Machine Learning to manufacturing and business processes. Develop predictive models for areas such as: Capacity and demand Downtime Inventory Delivery performance Process deviations Implement anomaly detection and early‑warning systems. Evaluate and implement Generative AI and LLM‑based solutions where they provide measurable business value. Real‑Time Operational Intelligence Develop 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. Data Governance Establish 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. User Enablement & AI Adoption Train 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. Education Bachelor’s degree in: Data Science Artificial Intelligence Software Engineering Industrial Engineering Mechatronics Information Technology Applied Mathematics or related field. Master’s degree in data science, AI, Analytics, or similar fields is desirable but not required. Experience Preferred: 2–4 years of professional experience, including: Data Analytics / Business Intelligence Data Engineering Process automation Manufacturing or operational analytics AI / Machine Learning implementation Technical Skills Required Python SQL Power BI Advanced Excel Data modeling ETL / ELT APIs Power Query Power Automate Git Preferred Microsoft Fabric / Azure Databricks Snowflake MLflow Scikit-learn Tensor Flow / Py Torch Open AI / Azure Open AI APIs LLMs and Generative AI RAG architectures Microsoft Copilot ecosystem ERP / MES integration Competencies Strong analytical and structured thinking Problem-solving Business-oriented mindset Ability to translate operational problems into digital solutions High degree of autonomy Communication with both technical and non‑technical stakeholders Continuous improvement mindset Project management Ability to prioritize projects based on business impact Languages Spanish: Native / Advanced English: Advanced business and technical communication #J-18808-Ljbffr

📌 Operational data intelligence specialist (Ejido del Centro)
🏢 H+K INTERNATIONAL
📍 Ejido del Centro