Job Title: Lead I – Enterprise Solutions (Senior Coupa Consultant – AIC Focus)
Location: Remote
Employment Type: Contract
Role Summary
We are seeking a Senior Coupa Consultant with deep, hands-on expertise in Coupa AIC (AI Classification) to support an enterprise-wide procurement data transformation initiative.
This role is a senior individual contributor / subject matter expert (SME) position, focused on procurement data classification, supplier normalization, spend analysis, and ERP data alignment. The ideal candidate will independently lead Coupa AIC initiatives while collaborating with cross-functional enterprise stakeholders in a remote environment.
Mandatory Requirements (Must Have – No Exceptions)
5+ years of hands-on experience with Coupa (Procurement & Spend Management)
3+ years of direct experience implementing and managing Coupa AIC (AI Classification)
Strong expertise in procurement data taxonomy, cleansing, and standardization
Proven experience in supplier master data normalization and enrichment
Strong spend analysis and procurement analytics background
Experience aligning Coupa data with ERP systems (e.g., SAP, Oracle)
Hands-on experience performing manual validation of AI-driven classifications
Strong analytical, problem-solving, and data-quality management skills
Key Responsibilities
Act as the Procurement Data Subject Matter Expert
Lead Coupa AIC classification model setup, training, and validation
Ensure accurate commodity and material group classification
Cleanse, normalize, and enrich supplier master data
Align and harmonize procurement data across Coupa and ERP systems
Perform detailed data validation and quality assurance
Deliver actionable spend insights to support sourcing and procurement decisions
Serve as a liaison between business stakeholders, IT teams, and Coupa
Support continuous improvement of procurement data governance and standards
Core Focus Areas
Procurement data taxonomy and classification
AI-driven and rule-based spend classification
Supplier normalization and data enrichment
Spend analytics and reporting accuracy
ERP and Coupa procurement data consolidation
Data integrity and validation controls
Project Objective
The initiative focuses on building a clean, standardized, and reliable procurement data foundation by:
Cleansing and harmonizing procurement data
Accurately classifying commodities and material groups
Normalizing supplier records
Consolidating ERP and Coupa procurement data
Leveraging AI classification models with manual validation
Ensuring high data accuracy for enterprise-level spend intelligence
Ideal Candidate Profile
A data-driven Coupa expert who combines strong procurement domain knowledge with hands-on AI classification experience. The candidate should be comfortable working independently, managing complex data challenges, and collaborating across global, remote teams.