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Vertiv · 16 hours ago

Advanced Manufacturing Engineering Specialist

Saint Louis, MO, United States

Full-time

Hybrid

Senior Level

5+ years exp

Vertiv is a company focused on driving global manufacturing strategy through data analysis. The Advanced Manufacturing Engineering Specialist will build and maintain analytical models to optimize capacity and support growth planning while collaborating with various teams to provide data-driven recommendations.

Data CenterInformation TechnologyIT InfrastructureTelecommunications

No H1B

U.S. Citizen Only

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

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

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

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

Qualification

Data analysisManufacturing analyticsCapacity planningSQLPythonRERP/MES systemsBI toolsStatistical analysisScenario modelingOptimizationForecastingKPI developmentCross-functional collaboration

Required

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

5–10+ 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