The Sustaining Product Cost Engineer (PCE) manages mass production (MP) product cost from ramp through end of life (EOL). As the voice of the product portfolio's financial health, you will be responsible for modeling and communicating the cost trade-offs associated with MP product decisions. The PCE is responsible for coordinating with cross-functional operations teams to develop cost-optimization plans, drive execution, and subsequently report out plan updates and performance against targets at leadership reviews.
Responsibilities
- Responsible for setting and driving cross-functional teams to meet BOM+MVA, CapEx, and OCOGS cost targets at the product and commodity level
- Track actual costs versus targets and coordinate with cross-functional stakeholders to develop cost optimization plans to close these gaps and achieve the targets
- Outline, report, and track all program risks and opportunities related to product costs and execute them to completion
- Lead cross-functional cost reviews to report out actual versus target costs, risks and opportunities, and cost optimization plan updates for each product
- Drive the supply chain and operations teams to provide detailed cost reduction forecasts that enable you to meet your product's cost reduction goals
- Track CapEx actuals to budget and identify opportunities for CapEx reduction and reuse on future products
Qualifications
- BS or higher in Electrical Engineering, Mechanical Engineering, Manufacturing & Operations Engineering or equivalent experience
- Experience in a product cost management role
- Knowledge of product features/specifications, BOM cost categories, operations and supply chain
- Cross-functional working experience to drive a program
- Problem solving, analytical and communication experience
- Proficiency in Microsoft Office suite: Word, PowerPoint, Excel and SQL
- Experience navigating ambiguity in a fast-paced environment and prioritizing multiple work threads to maximize impact Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience in competitive analysis, should cost, and design of cost methodologies
- Knowledge in ERP and PLM tools
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies