AI Operational Data Intelligence Specialist

Position Objective
Transform operational data into automated, reliable, and actionable intelligence to accelerate decisionmaking 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 exceptionbased 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 earlywarning systems.
Evaluate and implement Generative AI and LLMbased solutions where they provide measurable business value.
4. RealTime Operational Intelligence
Develop solutions for realtime or nearrealtime performance monitoring.
Create automated alerts when KPIs exceed defined thresholds.
Support management with proactive rather than reactive decisionmaking.
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 datadriven decisionmaking across the organization.
Identify repetitive analytical and administrative activities that can be automated using AI.
Education
Bachelors degree in
Data Science
Artificial Intelligence
Software Engineering
Industrial Engineering
Mechatronics
Information Technology
Applied Mathematics
or related field.
Masters degree in data science, AI, Analytics, or similar fields is desirable but not required.
Experience
Preferred 24 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
Scikitlearn
TensorFlow PyTorch
OpenAI Azure OpenAI APIs
LLMs and Generative AI
RAG architectures
Microsoft Copilot ecosystem
ERP MES integration
Competencies
Strong analytical and structured thinking
Problemsolving
Businessoriented mindset
Ability to translate operational problems into digital solutions
High degree of autonomy
Communication with both technical and nontechnical 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.
Bolsa de trabajo México ofrecemos puesto de Operational Data Intelligence Specialist para el sector de Otros de San Luis Potosí. Salario acorde a tu experiencia y al salario medio del sector. Actualiza ahora tu currículum vitae y postúlate a este empleo. Tipo de empleo Jornada completa.

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