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.

• Bachelor’s degree and 8 years’ experience
• Master’s degree and 6 years’ experience
• PhD and 2 years’ experience

• 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).

• 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.