Manufacturing Data & MES Solutions Specialist

Autoliv; Santiago de Querétaro; On-site; MXN 450,000 - 650,000; Full time

Job summary

Autoliv is seeking a Business Solutions Advanced Specialist to support manufacturing digitalization. You will ensure MES and shopfloor systems enable accurate reporting, quality validation, traceability, and analytics, bridging Operations, Quality, Engineering, and IT to ensure system stability and enable data-driven improvements.

The role focuses on implementing AI-supported enhancements while collaborating with cross-functional teams.

Qualifications

• Information systems or computer science degree or equivalent.
• Minimum 3 years in traceability support within a manufacturing environment.
• PL/SQL fundamentals and strong MES/process knowledge required.
• Advanced SQL experience with BI tools such as Power BI.
• Experience with cloud data platforms (Snowflake, Fabric preferred).
• Basic Python knowledge is preferred.
• Understanding of APIs and system integrations.
• Familiarity with AI tools (Copilot, automation platforms).

Responsibilities

• Support manufacturing digitalization by ensuring MES and shopfloor systems enable accurate reporting and analytics.
• Bridge Operations, Quality, Engineering, and IT to maintain system stability.
• Enable data-driven and AI-supported improvements across processes.

Skills

Traceability in manufacturing

PL/SQL

SQL & BI tools

Cloud data platforms

Python basics

APIs & integrations

AI tools familiarity

Education

Information systems, computer science degree or equivalent

Tools

Power BI

Snowflake

Fabric

Job description

Autoliv is seeking a Business Solutions Advanced Specialist to support manufacturing digitalization. You will ensure MES and shopfloor systems enable accurate reporting, quality validation, traceability, and analytics, bridging Operations, Quality, Engineering, and IT to ensure system stability and enable data-driven improvements.

The role focuses on implementing AI-supported enhancements while collaborating with cross-functional teams.