Job Description
Amazon"s Global Procurement Organization (GPO) sources products and services, empowering Amazon worldwide operations to fulfill their customer promise. Within GPO, Sourcing Excellence (SE) enables core procurement capabilities, and drives cost innovation and digital transformation.
We are seeking a strategic, hands-on leader to own GPO"s AI-powered Market Intelligence, Digital Cost Solutions, and Data Management capability under Sourcing Excellence team. This role leads a team responsible for transforming Market Intelligence into an AI-powered self-serve intelligence layer serving all GPO Category teams globally - while driving cost analytics, directly supporting Should-Costing project delivery and enabling Value Engineering workflows.
The role combines four capability streams:
- AI-Powered Market Intelligence - Governing and orchestrating a wide range of specialist MI agents (Construction, Packaging, Equipment, MHE, Services, Geopolitical Risk, Renewable Energy)
- Digital Cost Solutions and Analytics - Building bespoke AI tools, dashboards, and automation for Sourcing Excellence workflows
- Knowledge Hub & Datalake - Owning the SE core data infrastructure that underpins cost modelling, benchmarking, and intelligence across the organization
- Should-Costing & Value Engineering (VE) Support - Directly delivering should-costing projects alongside Cost Engineering and feeding cost improvement catalogues and data into VE workflows
Key job responsibilities
AI & Digital Solutions Strategy
- Define and execute the MI agent roadmap across all L1 categories
- Establish AI governance: accuracy, freshness, feedback loops, and cost-to-serve
- Drive self-serve adoption KPIs and scale the tool ecosystem
- Own the intelligence data supply chain - vetting, contracting, and maintaining 3P/public sources; defining the category-level source of truth
Team & Stakeholder Leadership
- Lead and develop a team of AI & MI Solutions Specialists
- Create a high-performance team culture balancing innovation velocity with operational rigor
- Serve as the intelligence partner to Category Managers, Cost Engineering, and cross-functional teams (Finance, Engineering, Operations)
- Manage external 3P data provider and technology partner relationships
Market Intelligence Integration with Cost & Value Engineering
- Structure market data, benchmarks, and cost indices for ingestion into should-cost models and value engineering workflows
- Own the Sourcing Excellence Knowledge Hub and core data-lake - data taxonomy, quality standards, access governance
- Ensure knowledge assets are discoverable, current, and structured for both human use and AI agent ingestion
- Directly support and deliver should-costing projects alongside the Cost Engineering team - building bottom-up cost models, validating cost drivers, establishing should-cost targets
Numbers & Facts
| Location | Arlington, VA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
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
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
Skills
- Alternative Energyunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Benchmarkingunmatched
- Category Developmentunmatched
- Category Managementunmatched
- Competitive Analysis/Strategyunmatched
- Constructionunmatched
- Contract Managementunmatched
- Cost Analysisunmatched
- Cost Controlunmatched
- Cost Engineeringunmatched
- Cost Modelingunmatched
- Cross-Functionalunmatched
- Data Lakeunmatched
- Data Managementunmatched
- Ecosystemsunmatched
- Financeunmatched
- Intelligence Agenciesunmatched
- International Operationsunmatched
- Model Validationunmatched
- Performance Metricsunmatched
- Project Engineeringunmatched
- Purchasing/Procurementunmatched
- Quality Metricsunmatched
- Reporting Dashboardsunmatched
- Riskunmatched
- Supply Chainunmatched
- Taxonomiesunmatched
- Team Lead/Managerunmatched
- Value Engineeringunmatched
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