Procurement Data & Digital Excellence Specialist
bOverview /b pIn 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. /p bResponsabilità /bulliAct as the Procurement Data Steward for master and transactional procurement data and define governance standards and quality rules. /liliMonitor data quality KPIs, drive corrective actions with business and IT teams, and ensure data consistency across SAP and connected procurement apps. /liliDefine 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. /liliSupport integration of SAP data with enterprise data platforms and analytics environments; contribute to evolving procurement data architecture. /liliPerform source-to-target validation for mappings from SAP S/4HANA and other sources to SAP Business Data Cloud and Databricks, ensuring complete data flows. /liliDevelop and maintain procurement dashboards, KPIs, and self-service reporting; translate business needs into actionable analytics.
/liliPromote data-driven decision making and support category managers with insightful data analysis. /liliEnsure 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. /li /ul bRequisiti fondamentali /bulli3–5 years in data, analytics, procurement operations or procurement technology roles /liliHands-on SAP S/4HANA procurement data structures experience; exposure to SAP Business Data Cloud, Datasphere, BTP, and SAP Business AI /liliProven delivery of data products end-to-end, not one-off extracts /liliExperience with Databricks, Python, and SQL in lakehouse/cloud platforms /liliExperience integrating and harmonising data across multiple ERP systems /liliExperience preparing and governing data for AI, ML, or advanced analytics /liliInternational, multi-country transformation programmes a plus /li /ululliStructured and precise with rigorous definitions and documentation /liliSystems thinking—connects business process, data structure, and technology /liliAbility to explain data and AI concepts to non-technical stakeholders /liliSAP S/4HANA procurement data objects (vendor, material, info records, source lists, contracts, POs) /liliSAP Business Data Cloud: data products, spaces, replication, consumption models; awareness of SAP Business AI, Joule, SAP BTP /liliData modelling: relational, dimensional, semantic layers, canonical models, MD harmonisation /li /ul
/liliPromote data-driven decision making and support category managers with insightful data analysis. /liliEnsure 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. /li /ul bRequisiti fondamentali /bulli3–5 years in data, analytics, procurement operations or procurement technology roles /liliHands-on SAP S/4HANA procurement data structures experience; exposure to SAP Business Data Cloud, Datasphere, BTP, and SAP Business AI /liliProven delivery of data products end-to-end, not one-off extracts /liliExperience with Databricks, Python, and SQL in lakehouse/cloud platforms /liliExperience integrating and harmonising data across multiple ERP systems /liliExperience preparing and governing data for AI, ML, or advanced analytics /liliInternational, multi-country transformation programmes a plus /li /ululliStructured and precise with rigorous definitions and documentation /liliSystems thinking—connects business process, data structure, and technology /liliAbility to explain data and AI concepts to non-technical stakeholders /liliSAP S/4HANA procurement data objects (vendor, material, info records, source lists, contracts, POs) /liliSAP Business Data Cloud: data products, spaces, replication, consumption models; awareness of SAP Business AI, Joule, SAP BTP /liliData modelling: relational, dimensional, semantic layers, canonical models, MD harmonisation /li /ul