Sr. Procurement Manager, AI Enabled Analytics

Key Responsibilities Partner with data science, engineering, and platform teams to operationalize analytics/AI solutions end-to-end; ensure production-ready, scalable implementations integrated into user experiences. Translate complex business questions into structured analytical problems; deliver actionable insights and recommendations. Create visualizations and data-driven narratives for operational and executive audiences. Design, build, and deploy analytics, statistical models, and machine learning solutions for: Spend and buying pattern analysis Demand forecasting and planning optimization Supplier performance and risk evaluation Apply data science to drive cost savings, mitigate supply/continuity risks, and ensure contract and policy compliance. Use SQL and visualization tools (e.g., Tableau, Power BI) to analyze procurement data. Build, automate, and maintain data pipelines and analytical workflows using Airflow and Alteryx. Integrate analytics/AI insights into procurement platforms (e.g., SAP Ariba) for real-time, workflow-embedded decision support. Ensure data quality, consistency, governance, and integrity across procurement systems and sources. Own and scale AI-enabled analytics, including predictive forecasting/optimization, workflow-embedded recommendations, and real-time automation/AI agents. Drive adoption by embedding insights into decision workflows. Measure, track, and communicate impact (efficiency gains, cost savings, risk reduction, improved user/supplier experience). Foster innovation and continuous improvement through tools, standards, and training. Basic Qualifications Bachelor’s degree and 8 years’ experience Master’s degree and 6 years’ experience PhD and 2 years’ experience Preferred Qualifications Track record applying procurement principles/best practices/standards. In-depth procurement technology knowledge (ERP, e-procurement, digital tools); manage integrations and troubleshoot. Experience leading cross-functional reengineering/process improvement (process diagrams, workflow analysis, SOPs). Superior communication, presentation, and change leadership/management skills. Experience leading AI-enabled business transformation/automation. Familiarity with procurement, finance, operations, or enterprise systems analytics. Ability to translate data into strategic recommendations. Experience supporting multiple projects/teams in a matrixed organization. Understanding of end-to-end supplier lifecycle (risk assessment/onboarding, due diligence, offboarding). Benefits Eligibility for discretionary annual bonus, discretionary stock-based long-term incentives, paid time off, and a benefits package including company-sponsored medical, dental, vision, and life insurance. #J-18808-Ljbffr