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Manufacturing Lead, Global SIOP & Capacity Planning

Job in Westerville, Delaware County, Ohio, 43082, USA
Listing for: Vertiv
Full Time position
Listed on 2026-07-01
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Manufacturing & Industrial Operations, Manufacturing Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Westerville

Job Description

We are seeking a highly skilled candidate with deep expertise in manufacturing footprint strategy and capacity planning. 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
  • Lead and contribute to long‑term global manufacturing footprint optimization initiatives.
  • Evaluate and recommend plant location strategies considering 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.
  • Conduct in‑depth capacity modeling, scenario planning, 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.
  • Collaborate with Engineering, Operations, Supply Chain, 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.
  • Support product transfers and ramp‑ups across regions, ensuring minimal disruption and operational continuity.
  • Leverage manufacturing and business intelligence data (MES, ERP, capacity tools) to drive strategic planning.
  • Develop and maintain models for manufacturing cost, utilization, capacity scenario analysis.
  • Promote scalable manufacturing processes, modular BoP strategies, digital factory principles.
  • Support new product introduction by integrating design for manufacturability principles and capacity readiness into early planning.
Education & Certifications
  • Bachelor’s Degree in Industrial Engineering/Technology, Supply Chain, Mechanical, Electrical, Electronics or equivalent experience.
  • 7‑10 Years of experience.
  • Demonstrated success in leading or supporting global manufacturing transformation programs.
  • Strong analytical skills, including financial modeling and use of simulation or capacity planning software (e.g., Simio or equivalent).
  • Knowledge of global supply chain dynamics, geopolitical influences, and total landed cost analysis.
  • 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.
  • Lean Six Sigma or continuous improvement background.
Travel Requirement

10%

Work Authorization

Vertiv will only employ those who are legally authorized to work in the United States. This position does not offer sponsorship. Individuals with temporary visas such as E, F‑1, H‑1, H‑2, L, B, J, or TN, or who require future sponsorship, 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.

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