h3Job Purpose /h3 pAs part of the Procurement Operations, Digitalization Strategic Excellence team, the Procurement Data Digital Excellence Specialist is responsible for building and maintaining the data foundations that enable modern, data-driven procurement operations.
/p pThe role ensures procurement data is accurate, reliable, governed, and accessible in real time to support operational excellence, advanced analytics, and AI-enabled capabilities.
Working closely with procurement, IT, data engineering, and business stakeholders, the specialist will transform procurement data into a strategic asset that drives better decision-making and continuous improvement /p pAlso, Bridgestone Europe is embedding AI across multiple ERP (mostly SAP - S/4HANA, BDC) landscapes and platforms.
Within Procurement, this role delivers the data products that make those use cases possible: clearly defined, properly modelled, documented, and trusted.
/p h3Responsibilities /h3 h3Data Governance Stewardship /h3 ul liAct as the Procurement Data Steward for master and transactional procurement data.
/li liDefine, implement and continuously improve procurement data standards, governance and quality rules.
/li liMonitor data quality KPIs and drive corrective actions with business and IT teams.
/li liEnsure data consistency across SAP and connected procurement applications.
/li /ul h3Data Foundation Architecture /h3 ul liData Attribute Definition: Define and document data attributes, business rules, calculation logic, and field-level definitions for all procurement data products — spend, suppliers, contracts, and purchasing KPIs.
/li liCollaborate with IT and Data Platform teams to ensure procurement data is available, secure and scalable.
/li liSupport the integration of SAP data with enterprise data platforms and analytical environments.
/li liContribute to the evolution of procurement data architecture.
/li liSource-to-Target Validation: mappings from SAP S/4HANA and various data sources into SAP Business Data Cloud and Databricks, ensuring data flows correctly and completely.
/li /ul h3Analytics Business Intelligence /h3 ul liDevelop and maintain procurement dashboards,



KPIs and self-service reporting solutions.
/li liTranslate business requirements into actionable reporting and analytics.
/li liSupport procurement category managers and leadership with insightful data analysis.
/li liPromote data-driven decision making throughout the procurement organization.
/li /ul h3AI Enablement /h3 ul liEnsure procurement data is AI-ready by improving its quality, structure and accessibility.
/li liSupport the deployment of AI and Generative AI use cases within procurement.
/li liPartner with Digital and AI teams to identify opportunities for automation and predictive analytics.
/li /ul h3Qualifications Experience Required /h3 h3Education, Master, other certification: /h3 ul liMaster's degree in Data Science, Computer Science, Engineering, Information Systems, Statistics, or a related field.
/li liSAP certifications or proven experience in S/4HANA, BTP, Datasphere / Business Data Cloud, SAP Analytics Cloud, Databricks, or hyperscaler data platforms are a strong advantage.
/li liTraining in data modelling, data governance, or AI and machine learning fundamentals is a plus.
/li /ul h3Experience (years): /h3 ul li3-5 years in a data, analytics, procurement operations, or procurement technology role.
/li liSAP is essential: hands-on experience with S/4HANA procurement data structures, plus exposure to SAP Business Data Cloud, Datasphere, BTP, and SAP Business AI.
/li liProven end-to-end delivery of data products, from definition to production, not one-off extracts.
/li liHands-on experience with Databricks, Python, and SQL within a lakehouse or cloud data platform.
/li liExperience with integration and harmonisation of data across multiple or heterogeneous ERP systems.
/li liExperience preparing and governing data for AI, machine learning, or advanced analytics use cases.




/li liInternational, multi-country transformation programmes are a plus.
/li /ul h3Technical Skills: /h3 ul liSAP S/4HANA procurement data objects and master data: vendor, material, info records, source lists, contracts, purchase orders.
/li liSAP Business Data Cloud: data products, spaces, replication, consumption models; awareness of SAP Business AI, Joule, and AI Foundation on SAP BTP.
/li liData modelling: relational and dimensional, semantic layers, canonical cross-system models, master data harmonisation.
/li liSQL and Python, including pandas and PySpark, for transformation, analysis, and automation.
/li liDatabricks: notebooks, Delta Lake, workflows.
/li liCommon data technologies beyond SAP: cloud data warehouses, ETL/ELT and orchestration, APIs, event-based integration.
/li liArchitectural design at comprehension level: layering, lakehouse versus warehouse, batch versus real-time, and related trade-offs.
/li liData governance: lineage, cataloguing, data contracts, and quality frameworks.
/li liSAP Analytics Cloud, Power BI, or Tableau; advanced Excel and PowerPoint.
/li /ul h3Languages Skills: /h3 ul liFluent English, written and spoken.
/li liAdditional European languages are a plus.
/li /ul h3Soft/Behavioral Skills: /h3 ul liStructured and precise, with rigour on definitions and documentation.
/li liSystems thinking: connects business process, data structure, and technology.
/li liExplains data and AI concepts clearly to non-technical stakeholders.
/li liTurns ambiguous business needs into scoped, deliverable data requirements.
/li liCurious about emerging data and AI technologies; comfortable with change and ambiguity.
/li liStrong ownership across multiple stakeholders and parallel deliverables.
/li /ul pSalary range: 37,***********,000 /p pThe salary range is based on gender-neutral criteria: applicable CCNL requirements, responsibilities, working conditions and market benchmarks for the role and location.
Final compensation will be determined based on gender-neutral criteria: experience, skills, and internal equity.
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