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.
1. 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.
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 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.
4. 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.
5.



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.
6. 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
TensorFlow / PyTorch
OpenAI / Azure OpenAI 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
You 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