Data Center Power Quality Specialist – Process & Audit

ABB; Richmond (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

ABB in Richmond, VA is seeking a Process Quality Specialist to enhance customer satisfaction by resolving complaints, analyzing defects, and delivering actionable quality improvements for data center power products. You will drive audits, CTQ parameterization, and Q-gate implementation while coordinating cross‑functional teams during audits and certifications.

The role emphasizes root-cause analysis, COPQ, and mapping processes for automation to improve quality and efficiency in a fast-paced

Qualifications

• Bachelor degree plus minimum 5 years experience in quality/engineering
• Proficient with quality tools (FMEA, 7 QC tools, 5S, 5Why, Kaizen, Poka-Yoke, SPC, DMAIC, 8D)
• Familiar with UL1561, NEMA ST-20, IEEE C57.12.01/91, DOE 2016, UL9540/1008S/1778/891 and CSA C22.2 for compliance

Responsibilities

• Drive and perform product audit and quality planning
• Develop and maintain Quality Plans, Control Plans, and inspection checklists with CTQs and Q-gates
• Monitor First Pass Yield and implement improvement actions
• Analyze customer complaints, identify root causes, and coordinate with cross-functional teams during audits and FAT/certifications
• Perform COPQ analyses and map manufacturing processes to identify automation opportunities

Skills

FMEA

7 QC tools

5S

5Why

Kaizen

Poka-Yoke

SPC

DMAIC

8D Root Cause

Education

Bachelor degree in Mechanical/Industrial/Electrical Engineering or related field

Job description

ABB in Richmond, VA is seeking a Process Quality Specialist to enhance customer satisfaction by resolving complaints, analyzing defects, and delivering actionable quality improvements for data center power products. You will drive audits, CTQ parameterization, and Q-gate implementation while coordinating cross‑functional teams during audits and certifications.

The role emphasizes root-cause analysis, COPQ, and mapping processes for automation to improve quality and efficiency in a fast-paced