Construction Cost Engineering Manager , Cost Engineering, Amazon Global Procurement Organization

Amazon.com Inc

Houston, TX

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Benchmarking, Business Strategy, Capital Project, Category Management, Competitive Analysis/Strategy, Construction, Construction Document Set, Construction Drawings, Construction Engineering, Construction Estimates, Construction Management, Construction Projects, Cost Analysis, Cost Control, Cost Engineering, Cost Estimates, Cost Modeling, Data Collection, Data Modeling, Data Sets, Engineering Management, Hyperion Pillar, Investment Capital, Model Validation, Negotiation Skills, Order/Customer Fulfillment, Pattern Matching, Pricing, Project Estimates, Purchasing/Procurement, Request for Proposals (RFP), Retrofit, Scalable System Development, Technical/Engineering Design, Value Engineering
LOCATION
Houston, TX
POSTED
3 days ago

Amazon builds fast - and behind every new Fulfilment Center, Sortation Center, and Delivery Station is a cost estimate that had to be accurate, defensible, and ready when decisions need to be made. We"re looking for a Cost Engineering Manager who will deliver construction cost engineering services to Amazon"s North America Design & Construction stakeholders - producing the estimates, cost models, and analytical outputs that inform capital investment decisions across Amazon"s NA infrastructure network.

This role is high-impact, high-variety, and technically demanding. You"ll deliver a range of estimates, across a diverse portfolio of NA building types and project scopes - from multi-site retrofit programs to one-off capital projects - where site conditions, design parameters, and scope ambiguity make every engagement a unique analytical problem. You"ll work from early concept sketches through bid-ready construction documents, applying construction domain expertise to produce cost intelligence that directly shapes business outcomes.

The core deliverable is construction cost estimates - and the role is within Amazon"s Global Procurement Organization, Sourcing Excellence pillar, which means you"ll also have the opportunity to expand into broader cost engineering disciplines: should-cost modeling that anchors supplier negotiations, and value engineering initiatives that challenge specifications and drive design-to-cost outcomes. You will work closely with AI and Market Intelligence Solutions, leveraging AI-powered tools daily to accelerate analysis, build scalable costing datasets, and contribute to the development of next-generation automation that multiplies the team"s reach.

Key job responsibilities

Deliver independent, bottom-up construction cost estimates for NA Design & Construction stakeholders across Amazon"s building portfolio - spanning retrofit, expansion, and new-build scopes across multiple building types and network segments

Develop cost estimates from early-stage concept inputs through RFP-ready construction drawing sets, adapting methodology and analytical depth to available information at each project phase

Build and maintain programmatic estimating templates for multi-site programs (such as interior renovations, mechanical system replacements) where scope consistency allows template-driven efficiency

Produce one-off bottom-up estimates for projects where unique site conditions, non-standard design, and scope ambiguity demand deep analytical judgment (such as automation retrofits, site hardening, ad-hoc retrofit requests)

Generate high-level ROMs for early-stage project exploration when data is limited and design direction is still evolving

Leverage AI-powered tools as a default part of your workflow - using automation for data gathering, cost benchmarking, and pattern recognition while applying expert judgment on complex, ambiguous scopes

Contribute to the development of scalable AI solutions by curating project data, validating model outputs, and identifying where automation can absorb routine estimation work

Collaborate with preconstruction managers, design engineers, and category managers to gather site-specific inputs, validate assumptions, and communicate cost risks

Peer review estimates and cost models produced by teammates to ensure consistency, accuracy, and alignment with current market pricing

Maintain and update cost data libraries as required with latest market bids, labor rates, and material pricing to keep cost intelligence grounded in reality

Over time, expand into should-cost modeling, benchmarking, and value engineering activities on construction projects as part of the broader Cost Engineering services within Sourcing Excellence pillar

About the team

Cost Engineering answers one fundamental question for Amazon: Are we paying the right price? We combine deep technical expertise with advanced analytical methodologies - should-cost modeling, cost estimation, market intelligence, and cost driver decomposition - to deliver transparent, fact-based insights that empower Amazon teams to make decisions with confidence. Our vision is to make cost transparency a strategic capability across the organization, ensuring every procurement and business decision reflects what something should cost, not just what the market offers. We cover billions in managed spend across multiple categories globally - with exponential growth since the team formation in 2022.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles