Process Improvement & VOS Lead

Vertiv Group Corporation; Willis (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

Vertiv seeks a Manager, Business Process Improvement & VOS to lead end-to-end ownership of small process improvement projects and contribute to medium-scale initiatives across OTC, PTP, NPDI, SIOP, and Services in the Americas. You will facilitate cross-functional sessions, partner with IT and business leaders, and leverage data tools to support decision-making.

The role requires strong process mapping, root-cause analysis, and identification of AI opportunities, with 10% travel.

Qualifications

• Bachelor's degree in Business Administration, Accounting, Finance, Economics, Engineering, Marketing, Computer Science, or related discipline.
• Intermediate knowledge in all areas of project planning, development, management, and implementation.
• Project Management certifications (PMP, CSM, Lean Six Sigma Black Belt) a plus.

Responsibilities

• End-to-end ownership of small OTC, PTP, NPDI, SIOP or Services projects
• Significant contributor on medium projects
• Lead value stream and process mapping workshops
• Prepare flowcharts and reporting packages
• Perform root cause analysis
• Identify AI and automation opportunities
• Facilitate cross-functional working sessions independently
• Partner with IT for system and tool implementations
• Liaise with Learning and Development and manage change communications
• Execute training

Skills

Communication skills

English proficiency

Analytical skills

ERP experience (Oracle)

MS Office

Agile

Education

Bachelor’s degree in related field

PM Certifications (PMP, CSM, Lean Six Sigma)

Project planning knowledge

Tools

ServiceNow

Job description

Vertiv seeks a Manager, Business Process Improvement & VOS to lead end-to-end ownership of small process improvement projects and contribute to medium-scale initiatives across OTC, PTP, NPDI, SIOP, and Services in the Americas. You will facilitate cross-functional sessions, partner with IT and business leaders, and leverage data tools to support decision-making.

The role requires strong process mapping, root-cause analysis, and identification of AI opportunities, with 10% travel.