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Medium — recognizable brand and mid-level experience attract applicants, but procurement-AI niche narrows the pool.
High — role demands both deep procurement domain expertise and applied ML production skills, limiting transferability.
High — explicit 5+ years procurement domain, Python/ML production, SQL, and deployment/MLOps requirements.
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Lead design, development, and deployment of AI and ML models across procurement processes including demand forecasting, spend categorization, anomaly detection, and contract analysis.
Own procurement AI use cases end-to-end, delivering predictive and prescriptive analytics to transform procurement into a data-driven function.
Operationalise AI models into production and integrate with procurement platforms like SAP Ariba and Coupa, including stakeholder collaboration to ensure business adoption.
Bachelor’s degree in business, Supply Chain, Procurement, Risk Management or related field (or equivalent experience).
Minimum 5 years of experience in procurement, supply chain, or related domain.
Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and building/deploying ML models in production.
Strong understanding of procurement processes (source-to-pay, category management, supplier management).
Experienced in managing end-to-end AI/data science projects within procurement or supply chain domains with measurable impact.
Able to bridge technical and business teams effectively and influence senior stakeholders for program governance and adoption.
Comfortable with complex, matrix/global environments and handling ambiguity while driving innovation in AI/ML applications.