Sr. Program Manager – Engineering Quality & Reporting Systems

Sr. Program Manager – Engineering Quality & Reporting Systems

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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.

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.

• Engineering Quality Program Leadership
• Develop and execute the engineering quality metrics program across all product lines (e.g., switchboards, MV Metal Clad 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, Field Service & Warranty to integrate customer feedback into continuous improvement cycle, and change management & training stakeholders.
• Champion Engineering Quality Review Board, holding regular meetings with engineering and external stakeholders to 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.