Overview In this role you will build and steward procurement data foundations to enable real-time, data-driven operations and AI-enabled capabilities. You will partner with procurement, IT, data engineering, and business stakeholders to turn procurement data into a trusted strategic asset. You’ll deliver data products across SAP and connected platforms, supporting governance, analytics, and intelligent automation. This position is a key driver of operating excellence and data maturity within Procurement, with a focus on scalable, well-documented data architectures.

Responsabilità

Act as the Procurement Data Steward for master and transactional procurement data and define governance standards and quality rules. Monitor data quality KPIs, drive corrective actions with business and IT teams, and ensure data consistency across SAP and connected procurement apps. Define and document data attributes, rules, and calculations for spend, suppliers, contracts, and KPIs; collaborate with IT and Data Platform teams to ensure secure, scalable data access. Support integration of SAP data with enterprise data platforms and analytics environments; contribute to evolving procurement data architecture. Perform source-to-target validation for mappings from SAP S/4HANA and other sources to SAP Business Data Cloud and Databricks, ensuring complete data flows. Develop and maintain procurement dashboards, KPIs, and self-service reporting; translate business needs into actionable analytics.



Promote data-driven decision making and support category managers with insightful data analysis. Ensure procurement data is AI-ready and support deployment of AI and Generative AI use cases; partner with Digital and AI teams to identify opportunities for automation and predictive analytics.

Requisiti fondamentali

3–5 years in data, analytics, procurement operations or procurement technology roles Hands-on SAP S/4HANA procurement data structures experience; exposure to SAP Business Data Cloud, Datasphere, BTP, and SAP Business AI Proven delivery of data products end-to-end, not one-off extracts Experience with Databricks, Python, and SQL in lakehouse/cloud platforms Experience integrating and harmonising data across multiple ERP systems Experience preparing and governing data for AI, ML, or advanced analytics International, multi-country transformation programmes a plus Structured and precise with rigorous definitions and documentation Systems thinking—connects business process, data structure, and technology Ability to explain data and AI concepts to non-technical stakeholders SAP S/4HANA procurement data objects (vendor, material, info records, source lists, contracts, POs) SAP Business Data Cloud: data products, spaces, replication, consumption models; awareness of SAP Business AI, Joule, SAP BTP Data modelling: relational, dimensional, semantic layers, canonical models, MD harmonisation

📌 Procurement Data & Digital Excellence Specialist (Latina)
🏢 Bridgestone
📍 Latina