Senior Procurement Data & Analytics

Senior Procurement Data & Analytics Consultant

• Location: San Francisco (Hybrid – 3 days onsite per week)
• Pay Rate: $80–$90/hour
• Employment Type: 6 months contract

About the Role

Key Responsibilities

• Partner with Enterprise Systems & Platform teams to architect and maintain a unified procurement data mart across systems including Zip, Oracle, Ironclad, VNDLY, Navan, Salesforce, and analytics platforms.
• Build and maintain production-grade datasets and data pipelines using Databricks or similar technologies, ensuring scalable and reliable reporting infrastructure.
• Develop dashboards and self-service reporting solutions across Source-to-Contract, Procure-to-Pay, T&E, and Extended Workforce operations.
• Define and standardize procurement KPIs, metric definitions, and analytics governance processes.
• Own procurement master data governance, including supplier/vendor data, categories, entities, cost centers, and taxonomy alignment.
• Improve data quality and operational efficiency by identifying and resolving inconsistencies, duplicates, and workflow bottlenecks.
• Design structured datasets that support AI agents, automation workflows, anomaly detection, and intelligent routing processes.
• Drive adoption of analytics solutions by replacing manual reporting processes with governed dashboards and scalable reporting pipelines.
• Collaborate cross-functionally with Procurement, Finance, Legal, Security, and Enterprise Technology teams to align reporting and operational standards.

Required Qualifications

• 8+ years of experience in Procurement Analytics, Data Strategy, Supply Chain Analytics, Finance Operations, or related operational domains.
• Strong experience designing procurement data models and canonical datasets end-to-end.
• Proven expertise building dashboards and trusted self-service reporting solutions for procurement and operational teams.
• Advanced experience with dashboarding and visualization tools such as Tableau, Oracle Analytics, Zip, Navan, or VNDLY.
• Strong SQL skills and understanding of analytics engineering concepts including ETL/ELT pipelines, dimensional modeling, testing, and monitoring.
• Experience partnering with engineering teams to develop production-grade data pipelines using Databricks or similar platforms.
• Expertise in procurement master data management, supplier normalization, category taxonomy, and governance frameworks.
• Demonstrated success establishing KPI governance, source-of-truth alignment, audit-ready reporting, and data quality standards.
• Strong ability to translate complex business needs into scalable analytics solutions with measurable operational impact.
• Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience supporting AI-enabled operational workflows and automation initiatives.
• Familiarity with procurement lifecycle platforms and enterprise procurement operations.
• Experience in high-growth or fast-paced technology environments.