Sr. Program Manager Engineering Quality & Reporting Systems

About IEM Industrial Electric Mfg. (IEM) is the largest independent full-line manufacturer of custom power distribution systems in North America. Founded more than 75 years ago in Fremont, California, IEM grew alongside Silicon Valley and today operates over 1.7 million square feet of manufacturing capacity. With $1B+ in annual sales and 10,000+ commissioned projects across technology, data centers, commercial, energy, utilities, healthcare, industrial, and infrastructure markets, IEM continues to deliver exceptional product quality, dependable service, and the flexibility to meet complex technical requirements at scale. Position Summary The Program Manager – Engineering Quality and Reporting Systems will lead the development, implementation, and continuous improvement of engineering measurement systems. The Program Manager serves as the central coordinator between Engineering, Quality, Manufacturing, and Supply Chain to define, monitor, and improve the key performance indicators (KPIs) that drive design and product quality, on-time delivery, and Design for Manufacturability. Key Responsibilities Engineering Quality Program Leadership Develop and execute the engineering quality metrics program across all product lines (e.g., switchboards, MV MetalClad Switchgear, control panels, Power Distribution Units). Standardize processes for capturing and reporting engineering and product quality data across design and production sites. Manage cross-functional initiatives to reduce quality issues and improve product reliability. Quality Metrics Development & Reporting Define, establish data sources for, track, and maintain KPIs such as: Design defect density and engineering change order (ECO) rework rate Field failure rate (MTBF / MTTR) and warranty claim trends as a result of design issues First-pass yield (FPY) and end-of-line test performance Corrective and preventive action (CAPA) closure time Supplier quality performance for critical electrical components Partner with Data & Analytics team to develop automated dashboards and reports (e.g., Tableau) for leadership visibility to drive better business decisions. Serve as the product owner for engineering data products Support data quality, governance, and documentation for engineering metrics Root Cause Analysis & Continuous Improvement Drive structured problem-solving (8D, A3, DMAIC) for design quality issues. Collaborate with electrical, mechanical, and process engineering teams as well as with manufacturing and field service teams to identify recurring issues and implement design-for-quality (DFQ) principles. Work with Quality Team to coordinate reliability and validation testing to verify corrective actions and ensure long-term durability. Standards, Compliance, and Auditing Ensure engineering processes align with industry standards and certifications such as UL, IEEE, ISO 9001 , and ANSI requirements. Support internal and external quality audits; maintain documentation required for compliance and product certification. Support Quality Department in making control plans related to engineering and design deliverables Define Design Failure Mode and Effect Analysis (DFMEA) to identify risk and help engineers to understand and mitigate risk in the design phase. Cross-Functional Collaboration Partner with: Engineering – to design and validate for manufacturability and serviceability. Manufacturing – to ensure feedback loops from production quality metrics to design teams and to help produce consistent data inputs where they do not exist Field Service & Warranty – to integrate customer feedback into continuous improvement cycle and to drive factor escapes toward zero. Change Management & Training Champion Engineering Quality Review Board, holding regular meetings with engineering and external stakeholders where we present and review KPI’s. Lead cultural adoption of data-driven decision-making and proactive quality management within engineering. Conduct training for engineers and technicians on metrics interpretation, root cause tools, and reliability engineering concepts. Qualifications Education: Bachelor’s degree in Electrical, Mechanical, or Industrial Engineering (Master’s preferred). Experience: 7+ years in engineering, manufacturing, or quality leadership roles in power distribution equipment, electrical assemblies, or industrial systems manufacturing. Demonstrated success implementing engineering quality systems or performance dashboards. Familiarity with power distribution components (switchgear, MCCs, breakers, relays, busbars, etc.). Skills: Proficiency in data visualization (Power BI, Tableau) and statistical tools (Minitab, JMP). Able to handle a Chaotic and fast paced working environment and to drive transformative organizational change Understanding of reliability analysis, DFMEA, PFMEA, and SPC. Excellent communication and stakeholder management skills across technical and executive levels. Ability to influence cross-functional teams and manage complex, multi-site improvement programs. Compensation The salary range for this role is $124,800-$189,280 per year, based on location, experience, and qualifications. Why Join IEM At IEM, you’ll join a team that powers some of the world’s most ambitious projects. We’re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you’re driven, collaborative, and ready to make an impact, we’d love to hear from you. Your creativity and passion can help us achieve great things—come be part of the journey. Learn more about IEM at We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at Recruiting Scams Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact Non-Discrimination Statement IEM does not discriminate against any applicant based on any characteristic protected by law. 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