Advanced Manufacturing Engineering Specialist

Job Summary

Drive global manufacturing strategy by turning complex capacity footprint and demand data into actionable insights. Build and maintain analytical models and scenario tools to optimize capacity identify constraints and support growth planning. Utilize AI to build Agents to enable quick iteration of potential scenarios. Collaborate with Engineering Operations Supply Chain and Finance to deliver data-driven recommendations that guide executive decisions and strategic footprint initiatives.

Responsibilities:

• Design build and maintain scalable analytical frameworks and data models that enable rapid data-driven decision making related to capacity allocation footprint strategy and growth planning.
• Develop constraint detection logic capacity utilization metrics and early-warning indicators to proactively surface risks before they impact customer commitments.
• Translate complex multi-source datasets into clear insights scenarios and recommendations for executive and customer-facing decision making.
• Build and maintain capacity throughput and utilization models across multiple product lines to identify constraints bottlenecks and scaling limits.
• Conduct scenario analysis sensitivity modeling and what-if simulations to optimize plant loading equipment utilization and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights enabling proactive constraint management.

Capacity Planning & Optimization

• Build and maintain capacity throughput and utilization models across multiple product lines to identify constraints bottlenecks and scaling limits.
• Conduct scenario analysis sensitivity modeling and what-if simulations to optimize plant loading equipment utilization and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights enabling proactive constraint management.

Cross-Functional & Global Analytics Collaboration

• Collaborate with Engineering Operations Supply Chain and Finance to define analytical assumptions data definitions and decision criteria for strategic manufacturing initiatives.
• Coordinate across global teams to standardize analytics methodologies models and planning tools for footprint and capacity analysis.
• Drive regional alignment and standardization of global data analytics best practices to support consistency and drive process maturity

Data-Driven Decision Intelligence

• Leverage and integrate data from MES ERP capacity planning tools and external sources to support strategic manufacturing analysis.
• Design and maintain cost utilization and capacity models that enable fast repeatable scenario evaluation and executive decision making.
• Translate complex datasets into clear insights visualizations and recommendations for senior leadership and customer-facing discussions.

Process Standardization & Scalable Analytics

• Enable scalable manufacturing strategies by embedding analytics into modular BoP approaches and digital factory initiatives.
• Support new product introductions by applying data-driven manufacturability and capacity-readiness assessments early in the design and planning process.
• Continuously improve analytical frameworks to enhance speed accuracy and consistency of global footprint and capacity decisions.

Education & Certifications

Bachelors Degree in: Data Science/Analytics/Statistics Computer Science Industrial Engineering Operations Research Manufacturing Engineering Supply Chain / Logistics Mathematics Physics or Economics (quantitative focus)

Requirements

• 5 to 10 or more years of experience in data analysis manufacturing analytics capacity planning or operations strategy.
• Proven experience with global manufacturing operations footprint optimization or capacity modeling.
• Experience building analytical frameworks scenario models or data-driven decision tools for executives or cross-functional teams.
• Demonstrated ability to work effectively in a cross-functional environment across a diverse global team
• Strong proficiency in SQL Python R or other data analysis tools.
• Experience with ERP/MES systems BI tools (Power BI Tableau) and capacity planning software.
• Expertise in statistical analysis scenario modeling forecasting optimization and KPIs for manufacturing or supply chain

Travelling: 10%

The successful candidate will embrace Vertivs Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

Customer Focus

Operational Excellence

High-Performance Culture

Innovation

Financial Strength

OUR BEHAVIORS

Own It

Act With Urgency

Foster a Customer-First Mindset

Think Big and Execute

Lead by Example

Drive Continuous Improvement

Learn and Seek Out Development

About Vertiv

Vertiv is a $8.0billion global critical infrastructure and data center technology company. We ensure customers vital applications run continuously by bringing together hardware software analytics and ongoing services. Our portfolio includes power cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus Ohio USA Vertiv employs around 20000 people and does business in more than 130 countries. Visit to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E F-1 H-1 H-2 L B J or TN or who need sponsorship for work authorization now or in the future are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring terms of employment mobility training compensation and occupational health without discrimination as to age race color religion creed sex pregnancy status (including childbirth breastfeeding or related medical conditions) marital status sexual orientation gender identity / expression (including transgender status or sexual stereotypes) genetic information citizenship status national origin protected veteran status political affiliation or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position you can request help by sending an email to @.