Procurement Data & Digital Excellence Specialist

ppSelect how often (in days) to receive an alert: /p h3Procurement Data Digital Excellence Specialist /h3 h3POSITION SNAPSHOT /h3 pType of work: Hybrid /p pType of contract: Open-ended/permanent /p pFull/Part Time: Full time /p pLocation: ROMA, IT Zaventem, BE /p h3ABOUT US /h3 pBridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a “Bridgestone West” strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries. /p h3ABOUT THE ROLE /h3 h3bJob Purpose /b /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 h3bKey Responsibilities /b /h3 pData Governance Stewardship /p 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 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 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 pAI Enablement /p 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 pbQualifications Experience Required /b /p pEducation, Master, other certification: /p 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 pExperience (years): /p 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 pTechnical Skills: /p 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 pLanguages Skills: /p ul liFluent English, written and spoken. /li liAdditional European languages are a plus. /li /ul pSoft/Behavioral Skills: /p 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 liCurious about emerging data and AI technologies; comfortable with change and ambiguity. /liliStrong ownership across multiple stakeholders and parallel deliverables. /li /ul h3WHAT WE OFFER /h3 pAt Bridgestone, what really matter is to foster co-creation opportunities and empowering you to be creative and curious to make mobility safer, more efficient, and more sustainable for future generations. Whatever role you fill, when you represent Bridgestone, you are a valued teammate, and part of our larger mission to “Serve Society with Superior Quality”, for that, we offer you more than just a competitive payment; we will provide you: /p ul liA supportive and engaging onboarding experience to ensure a smooth transition into our team. /li liThe opportunity to develop and grow, through training and regular mentorship. /li liCorporate Social Responsibility activities. /li liA truly global, dynamic and challenging work environment. /li liAgility and work/life effectiveness and your long‑term well‑being. /li liA diverse and inclusive team. /li /ul pWe are committed to create an even more inclusive culture that advances equity, embraces individuality, and helps our increasingly diverse teammates, customers, and communities thrive, by providing equal opportunities in employment. This means that all job applicants and members of staff will receive equal treatment and that we will not discriminate on grounds of gender, marital status, race, ethnicity, color, nationality, national origin, disability, sexual orientation, religion or age. /p /p #J-18808-Ljbffr