Senior Procurement Data & Analytics (Hiring Immediately)

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.