Degree in Computer Science, Engineering, Industrial Engineering, Information Systems or a related technical field.

Minimum 5 years of experience in Industrial IT, Manufacturing IT, MES, ERP integration, digital manufacturing or similar project environments within the automotive industry.

Strong understanding of industrial manufacturing environments, including production flows, quality controls, planning processes, data collection and shop-floor operational constraints.

Proven experience collecting business requirements, analyzing industrial processes and translating needs into digital solutions and clear technical-functional documentation.

Experience coordinating IT projects in complex environments with multiple stakeholders, including business users, technical teams, suppliers and external implementation partners.

Ability to redesign processes and information flows to improve production resilience, process accuracy, planning reliability and data-driven decision-making.

Familiarity with systems and integrations commonly used in manufacturing environments, such as MES, ERP, planning tools, quality systems, databases, APIs, middleware or industrial data platforms.

Experience supporting SIT, UAT, deployment, hypercare and change management activities for business-critical industrial solutions.

Key Responsibilities

Support IT projects serving R&D;,



Quality, Planning and Industrial Engineering areas, from requirement collection through analysis, solution design, testing, deployment and post-go-live stabilization.

Partner with business stakeholders to understand industrial manufacturing processes, shop-floor constraints, quality workflows and planning dependencies.

Document current-state processes and data flows, identify gaps and inefficiencies, and redesign flows to support scalable digital solutions.

Coordinate internal teams, external partners and business key users to ensure clear scope, priorities, deliverables, testing plans and implementation readiness.

Propose innovative ideas and practical solutions to improve production resilience, planning accuracy, traceability, data quality and operational decision-making.

Prepare project documentation including business requirements, functional specifications, process maps, scope matrices, use cases, test scenarios, UAT evidence and deployment plans.

Monitor project risks, dependencies, issue resolution and change impacts across manufacturing, quality and planning environments.

Support adoption of digital tools by facilitating workshops, user alignment, training material preparation and structured handover to support teams.

📌 Industrial IT Process Specialist (Silao)
🏢 Adecco
📍 Silao