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.
This is an onsite position in Westerville Ohio.
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.
Identify and implement solutions to optimize plant loading, equipment utilization, and capital deployment.
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
Qualifications
Bachelors Degree in Data Science, Industrial Engineering/Technology, Supply Chain or equivalent experience
3-5+ Years of experience
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
Travel: 10%
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
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 . If you are interested in applying or learning more about this role, please visit the company’s career page located on Vertiv.com/Careers.
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.
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