Value Analysis & Engineering Director

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Job Summary:

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 .     This role leads a   high ‑ impact   team   of engineers , partnering across operations,   manufacturing technology, R& D   and   supply chain stakeholders to   identify , prioritize, and implement initiatives that   optimize   cost, quality, outcomes, and performance.

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 .   The   position   drives   local and   enterprise-wide   improvements through   shop-floor   technology   innovations ,   productivity , and optimized design for Front-End Loading of   capital projects.

This leader   establishes   the   value engineering   roadmap, governs portfolio performance, mentors and develops team capability, and influences senior leadership through clear, actionable recommendations .    Success requires strong   change   leadership,   experience with generative AI techniques,   the ability to translate analytics into impact, and a commitment to building a culture of continuous improvement .

Key Responsibilities

Strategic Value & Cost Reduction Leadership

- 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

Raw Material & Supplier Value Optimization

- 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

- Evaluate supplier proposals and   cost ‑ reduction   programs using total cost of ownership, lifecycle cost, and   risk ‑ adjusted   value frameworks

- Lead governance for material changes, ensuring performance, quality, and regulatory requirements are   maintained   or improved

Manufacturing Process Improvement

- Lead   cross ‑ functional   efforts to   optimize   manufacturing processes, including yield improvement, cycle time reduction, scrap and waste elimination, and energy efficiency

- Apply value engineering, Lean, Six Sigma, and   AI ‑ enabled   analytics to   identify   root causes of cost and performance variation

- Drive standardization and simplification of processes, formulations, and   bill ‑ of ‑ materials   across sites where appropriate

- Partner with Engineering, Operations, Quality, and   Manufacturing Technology, a nd R& D   teams to enable scalable, sustainable process improvements

Change Leadership & Adoption

- Act as a strong change leader to drive adoption of material and process changes across manufacturing sites and functions

- Lead stakeholder engagement, communication, and risk mitigation for   high ‑ impact   cost ‑ reduction   initiatives

- Build credibility and alignment with Operations, Quality, Supply Chain, and Plant Leadership to ensure implementation success

- Anticipate and manage resistance, ensuring changes are practical,   well ‑ understood , and operationally sustainable

Team Leadership & Capability Building

- Lead, mentor, and develop a   high ‑ performing   VA E   team focused on materials, manufacturing, and process engineering

- Establish best practices, standards, and tools for value analysis and value engineering across the team

- Build AI literacy and analytical capability within the team to elevate outcomes and productivity

- Foster a culture of continuous improvement,   data ‑ driven   thinking, and innovation

Performance Tracking & Value Realization

- Establish KPIs to track cost savings, cost avoidance, productivity gains, and value realization

- Ensure savings are   validated   with Finance and sustained through governance, monitoring, and controls

- Report clear, transparent results and progress to senior and executive leadership

Qualifications

- 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

- Recognized authority in Value Analysis   and Value   Engineering , with deep   expertise   applying Lean, Six Sigma, and engineering principles to drive sustained margin improvement at scale

- Executive ‑ level   change leadership , with   demonstrated   success influencing senior leaders, plant leadership, and   cross ‑ functional   executives to adopt complex material, supplier, and   process   changes

- People   and portfolio leadership at scale, including leading managers or senior professionals, setting strategy, and governing a   high ‑ value   initiative portfolio with accountability for results

- 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 .

- Drives growth through a relentless pursuit of new and better ways of working and accelerates value creation by embracing calculated risk-taking and rapid adaptation.

- Creates an environment that embraces our core values .    Understands how to motivate, develop, and get the most out of   talent within the   organizations.

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