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Advanced Manufacturing Engineer - GSA

Vertiv

Monterrey

Presencial

MXN 1,455,000 - 1,820,000

Jornada completa

Hace 5 días
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Descripción de la vacante

A leading technology company in Monterrey is seeking an Advanced Manufacturing Engineer to support global manufacturing strategies. The ideal candidate will collaborate across teams, leverage data for strategic planning, and optimize capacity and footprint management. Strong analytical skills, project management abilities, and experience in manufacturing processes are essential. This role requires a Bachelor's Degree in a related field and offers a dynamic environment with a 50% travel requirement.

Formación

  • 4-8 years of relevant experience in a manufacturing environment.
  • Experience with digital manufacturing tools is a plus.
  • Ability to influence at all levels within the organization.

Responsabilidades

  • Prepare capacity content for customer interaction.
  • Contribute to global footprint strategy and planning.
  • Conduct capacity modeling and optimization activities.
  • Collaborate with various teams for strategic decisions.
  • Leverage data for decision making and scenario mapping.

Conocimientos

Strong analytical skills
Financial modeling
Communication
Project management
Advanced Excel
Python
Databases

Educación

Bachelor's Degree in Data Science, Industrial Engineering/Technology, Supply Chain

Herramientas

Simio
MES
Descripción del empleo
Brief Description

We are seeking a highly skilled Advanced Manufacturing Engineer (AME) with deep expertise in manufacturing data process & data analytics. This strategic role will support the development and execution of global manufacturing strategies to ensure scalable, cost-effective operations that align with long-term business growth. The ideal candidate brings a global mindset, cross‑functional collaboration skills, and proven experience working across multiple product lines, facilities, and regions.

Responsibilities

Global Strategic Account Support:

  • Prepare customer facing capacity & footprint content to drive the demand pipeline & customer confidence in execution to on time delivery.

Global Footprint Strategy:

  • Contribute to long‑term global manufacturing footprint planning & scenario mapping.
  • Evaluate and recommend plant location strategies considering factors such as cost, geopolitical risk, technology enablement, supply chain resiliency, and customer proximity.
  • Support make‑vs‑buy and vertical integration analyses aligned with product and process needs.

Capacity Planning & Optimization:

  • Conduct in‑depth capacity modeling, scenario planning, and throughput analysis for multiple product lines aligned and coordinated with Regional AME Group.
  • Identify and propose solutions to optimize plant loading, equipment utilization, and capital deployment aligned and coordinated with Regional AME group.
  • Partner with regional and plant teams to ensure alignment with growth forecasts and demand variability.

Cross‑Functional & Global Collaboration:

  • Collaborate with Engineering, Operations, Supply Chain, and Finance to ensure cross‑functional alignment on strategic manufacturing decisions.
  • Coordinate across global teams to standardize best practices and tools for footprint and capacity planning.

Data‑Driven Decision Making:

  • Leverage manufacturing and business intelligence data (e.g., MES, ERP, capacity tools) to drive strategic planning.
  • Develop and maintain models for manufacturing cost, utilization, and capacity scenario analysis.
  • Introduce best in class tools, including AI, to support accurate & optimal scenario mapping.
  • Create a standardized methodology for data collection & standardized visualizations to drive customers to our customers.
Education

Bachelors Degree in Data Science, Industrial Engineering/Technology, Supply Chain or equivalent experience

Requirements
  • Strong analytical skills, including financial modeling and use of simulation or capacity planning software (e.g. Simio, or equivalent).
  • Experience with digital manufacturing tools (e.g., MES, digital twins) is a plus.
  • Strong communication, leadership, and project management skills; able to influence at all levels.
  • Multi‑industry or multi‑product‑line experience.
  • Advanced Excel, Python, Databases
Experience

4-8 years

Travel Requirements

50%

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