Leads procurement analytics, data science, business intelligence, and data governance initiatives, initially supporting the AMEA region. Develops reports, insights, predictive models, data quality rules, governance documentation, and scalable digital solutions. Partners with Procurement, Finance, Supply Chain, Technology, and external providers to improve data quality, automate reporting, enable analytics adoption, and translate complex findings into business recommendations.

Build and maintain AI-powered insights platforms, including data pipelines, LLM and machine learning workflows, full-stack applications, APIs, monitoring, and cloud infrastructure. The role involves Python, Databricks, AWS, React, Terraform, Docker, and CI/CD. Engineers collaborate with product, data science, and business stakeholders, contribute to architecture decisions, write tested code, and deliver AI-generated recommendations to global business users.