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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Procurement Analytics, Data Infrastructure... - **Company:** Delta Air Lines, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Machine Learning, Power BI, Tableau (Software), Sql Optimization, Large Language Models, Data Layers, Microsoft Fabric, Data Analytics, Data Management, Tools for Reporting - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gj1ewp ## About the Role + 5+ years in analytics, BI, or data engineering roles supportingProcurement, Supply Chain, or Finance. + Advanced SQL and data modeling skills, including experience withcloud-based analytics data platforms (preferred: Microsoft Fabric or AWS). + Strong understanding of procurement financials including Direct andIndirect spend. + Experience building BI dashboards and semantic models (Power BI /Tableau). + Strong stakeholder communication skills and product mindset. + Consistently prioritizes safety and security of self, others, andpersonal data. + Embraces diverse people, thinking, and styles. + Possesses a high school diploma, GED, or high school equivalency. + Is at least 18 years of age and has authorization to work in theUnited States. What will give you a competitive edge (preferred qualifications) + Bachelor's degree in Supply Chain, Finance, Engineering, MIS, Analytics,or related field. ## Description The Procurement Analytics, Data Infrastructure & Data Products Manager will design, build, and evolve analytics platforms, data products, and master data foundations that support the Procurement and Supply Chain organization. This role partners closely with Strategic Sourcing, Finance, Operations, and IT to enable fact-based decisions through scalable data models, spend cubes, dashboards, and curated analytics products across Direct and Indirect spend. This role is designed for a hands-on builder with a strong product mindset, combining data architecture, BI engineering, and financial acumen to translate complex procurement data into actionable insights that drive sourcing strategies, supplier performance, and enterprise cost optimization. Key Responsibilities Procurement Data Infrastructure & Architecture + Design, build, and maintain end-to-end data infrastructure includingingestion, transformation, modeling, and semantic layers. + Develop analytical cubes covering supplier, category, contract, volume,rate, and spend hierarchies. + Integrate contracts, purchase orders, invoices, finance actuals, andoperational data into a single source of truth. + Establish governance and quality standards for supplier master, categoryhierarchies, and contract/rate data. Spend, Financial & Should-Cost Analytics + Partner with Finance to align analytics to budgets, forecasts, P&Limpacts, and savings baselines. + Deliver volume, rate, mix, price variance, and Total Cost of Ownership(TCO) analytics. + Connect negotiated rates and should-cost assumptions to actual spend toidentify leakage and compliance gaps. Reporting, Dashboards & Self-Service Enablement + Build scalable dashboards and reporting solutions (Power BI / Tableau)delivering executive-ready insights. + Develop intuitive, self-service analytics products embedded into regularbusiness rhythms. + Translate complex datasets into clear, decision-oriented narratives forleadership. Offshore Analytics & Data Engineering Partnership (Dotted-Line) + Provide functional (dotted-line) leadership to offshore analytics and dataengineering teams supporting Procurement analytics. + Translate business requirements into clear technical direction, reviewingdeliverables to ensure quality, scalability, and alignment to standards. + Leverage offshore capacity to accelerate delivery while retaining hands-onownership of solution design and analytics outcomes. + Define and govern the ETL / ELT architecture and data pipelinerequirements, including source integration, transformations, orchestration,and data quality controls, while providing functional (dotted-line)direction to offshore teams responsible for building and maintaining thepipelines. Product Ownership & Enablement + Act as analytics product owner by defining use cases, maintaining deliveryroadmaps, and prioritizing enhancements based on business value. + Enable adoption through structured trainings, equipping category teams toself-serve analytics by delivering hands-on training, practical playbooks,and by embedding data products into core operating rhythms. Future-Ready Data Foundation + Design AI-ready data structures and semantic layers enabling future ML,AI, and LLM-based procurement use cases. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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