Dupont
Value Analysis & Engineering Director
Wimington, Delaware · Director
Sponsorship not specifiedDetected 9 days ago
Data ScienceLLMsSupply ChainProcess ImprovementProcurementLeadershipCommunication
About the role
- The Director of Valu e Analysis & Engineering (VAE) is responsible for driving enterprise value through the strategic application of value engineering analysis methodologies and advanced analytics using generative AI techniques.
- The role serves as both a strategic advisor and change leader, leveraging value engineering practices to maximize product, process, or project value while minimizing costs.
- Strategic Value & Cost Reduction Leadership
Responsibilities
- Lead the enterprise value engineering strategy focused on optimizing raw materials, formulations, components, and manufacturing processes to deliver significant, sustainable cost reductions
- Own the value pipeline for material and process initiatives, prioritizing opportunities based on financial impact, feasibility, supply risk, and operational readiness
- Partner with executive leadership to align VA V E initiatives to business strategy, margin improvement goals, and growth plans
- Drive value analysis of raw materials, including material substitution, specification optimization, grade rationalization, and alternative sourcing strategies
- Collaborate with Procurement and Suppliers to identify cost ‑ down opportunities through should ‑ cost modeling, AI ‑ driven benchmarking, and innovation partnerships
- Implement AI ‑ supported tools for predictive cost modeling, scenario analysis, supplier performance evaluation, and demand ‑ driven material optimization
- Lead governance for material changes, ensuring performance, quality, and regulatory requirements are maintained or improved
- Lead cross ‑ functional efforts to optimize manufacturing processes, including yield improvement, cycle time reduction, scrap and waste elimination, and energy efficiency
- Drive standardization and simplification of processes, formulations, and bill ‑ of ‑ materials across sites where appropriate
Requirements
- Bachelor's degree in Engineering, Computer /Data Science, MBA or AI Business Masters
- 15+ years of experience in Manufacturing, Supply Chain, Computer Science related field
- Proven experience with Advanced AI and analytics leadership, including experience sponsoring or deploying AI ‑ enabled cost modeling, process optimization, and decision ‑ support capabilities across the enterprise
- Enterprise manufacturing leadership experience with a proven record of delivering large ‑ scale, multi ‑ site cost transformation across raw materials, formulations, components, and core manufacturing processes
- Strong P&L ownership mindset and financial acumen, with the ability to translate material and process decisions into measurable margin improvement, long ‑ term value creation, and competitive advantage.
Skills
- Establish best practices, standards, and tools for value analysis and value engineering across the team
Compensation
- To learn more visit the Compensation and Benefits page.
This listing is sourced directly from Dupont's careers page and normalized into a canonical job model.