Value Engineering Manager

- Bachelor's degree

- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL

- Experience in program or project management

- Experience working cross functionally with tech and non-tech teams

- Experience in defining and implementing process improvement initiatives using data and metrics

- Experience in supply chain

- Experience defining program requirements and using data and metrics to determine improvements

- Experience in driving end to end delivery, and communicating results to senior leadership

- Experience leading process improvements

- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization

- Experience building processes, project management, and schedules

Amazon builds fast—and behind every new Fulfillment Center, Sortation Center, Delivery Station, and capital investment is a critical question: **Are we buying the right solution at the right price?** We're looking for a **Cost & Value Engineering Manager** to partner with Amazon's North America Design & Construction stakeholders, delivering construction cost engineering and value engineering services that optimize design, validate costs, and inform capital investment decisions across Amazon's infrastructure network.

This role is high-impact, high-variety, and technically demanding. You'll develop bottom-up cost estimates, should-cost models, and Value Engineering analyses across a diverse portfolio of building types, material handling equipment (MHE), automation, and capital projects. From multi-site retrofit programs to complex, one-off initiatives, you'll evaluate design alternatives, optimize specifications, identify cost drivers, and produce defensible cost models that shape sourcing, design, and investment decisions. Working from early concepts through bid-ready construction documents, you'll apply technical expertise to balance cost, quality, performance, and operational requirements.

As part of Amazon's Global Procurement Organization within the Sourcing Excellence pillar, you'll partner closely with Engineering, Design, Construction, Procurement, and Category teams to ensure Amazon is buying the right solution at the right price. You'll also collaborate with AI and Market Intelligence Solutions, leveraging AI-powered tools to accelerate analysis, develop scalable cost intelligence, and advance next-generation automation that expands the reach and impact of Cost & Value Engineering across Amazon.

Key job responsibilities

Deliver independent, bottom-up cost estimates for construction, equipment, and capital investment projects across Amazon's global portfolio, spanning retrofit, expansion, new-build, automation, and equipment deployment initiatives.

Develop cost estimates from early-stage concepts through supplier selection and implementation, adapting methodologies and analytical depth to available project information and design maturity.

Build and maintain scalable estimating models and templates while developing detailed bottom-up cost models for complex, site-specific initiatives requiring advanced analytical judgment.

Perform should-cost modeling, benchmarking, and Value Engineering analyses to evaluate design alternatives, optimize specifications, identify cost drivers, and ensure Amazon is buying the right solution at the right price.

Leverage AI-powered tools to automate data gathering, cost modeling, benchmarking, and pattern recognition while applying engineering judgment to validate outputs and resolve complex or ambiguous scopes.

Drive the development of scalable AI-enabled cost intelligence solutions by curating project and market data, validating model performance, and identifying opportunities to automate routine analytical activities.

Partner with Engineering, Design, Construction, Procurement, Category Management, and business stakeholders to validate assumptions, communicate cost risks, evaluate alternatives, and influence sourcing and investment decisions.

Peer review cost models, estimates, and Value Engineering recommendations to ensure technical rigor, consistency, and alignment with current market conditions and best practices.