Procurement Data & Digital Excellence Specialist
Pubblicato il 26-10-2026 - Bridgestone in Roma
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