Procurement Data & Digital Excellence Specialist
Pubblicato il 05-10-2026 - Successfactors in Lazio
Career Opportunities: Procurement Data & Digital Excellence Specialist ******) Contract type: Tempo pieno, Open-ended/permanent Location: IT-TCE-ROMA (IT-ITCC) As 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. The 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 Also, Bridgestone Europe is embedding AI across multiple ERP (mostly SAP - S/4 HANA, 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.
Responsibilities
Data Governance & Stewardship Act as the Procurement Data Steward for master and transactional procurement data. Define, implement and continuously improve procurement data standards, governance and quality rules. Monitor data quality KPIs and drive corrective actions with business and IT teams. Ensure data consistency across SAP and connected procurement applications.
Data 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. Collaborate with IT and Data Platform teams to ensure procurement data is available, secure and scalable. Support the integration of SAP data with enterprise data platforms and analytical environments. Contribute to the evolution of procurement data architecture.
Source-to-Target Validation:
mappings from SAP S/4 HANA and various data sources into SAP Business Data Cloud and Databricks, ensuring data flows correctly and completely. Develop and maintain procurement dashboards, KPIs and self-service reporting solutions. Translate business requirements into actionable reporting and analytics. Support procurement category managers and leadership with insightful data analysis.
Promote data-driven decision making throughout the procurement organization. AI Enablement Ensure procurement data is AI-ready by improving its quality, structure and accessibility. Support the deployment of AI and Generative AI use cases within procurement. Partner with Digital and AI teams to identify opportunities for automation and predictive analytics.
Qualifications & Experience Required Education, Master, other certification: Master's degree in Data Science, Computer Science, Engineering, Information Systems, Statistics, or a related field. SAP certifications or proven experience in S/4 HANA, BTP, Datasphere / Business Data Cloud, SAP Analytics Cloud, Databricks, or hyperscaler data platforms are a strong advantage. Training in data modelling, data governance, or AI and machine learning fundamentals is a plus.
Experience (years): 3-5 years in a data, analytics, procurement operations, or procurement technology role. SAP is essential: hands-on experience with S/4 HANA procurement data structures, plus exposure to SAP Business Data Cloud, Datasphere, BTP, and SAP Business AI. Proven end-to-end delivery of data products, from definition to production, not one-off extracts. Hands-on experience with Databricks, Python, and SQL within a lakehouse or cloud data platform.
Experience with integration and harmonisation of data across multiple or heterogeneous ERP systems. Experience preparing and governing data for AI, machine learning, or advanced analytics use cases. International, multi-country transformation programmes are a plus.
Technical Skills: SAP S/4 HANA procurement data objects and master data: vendor, material, info records, source lists, contracts, purchase orders. SAP Business Data Cloud: data products, spaces, replication, consumption models; awareness of SAP Business AI, Joule, and AI Foundation on SAP BTP. Data modelling: relational and dimensional, semantic layers, canonical cross-system models, master data harmonisation. SQL and Python, including pandas and Py Spark, for transformation, analysis, and automation.
Databricks: notebooks, Delta Lake, workflows. Common data technologies beyond
SAP: cloud data warehouses, ETL/ELT and orchestration, APIs, event-based integration. Architectural design at comprehension level: layering, lakehouse versus warehouse, batch versus real-time, and related trade-offs. Data governance: lineage, cataloguing, data contracts, and quality frameworks. SAP Analytics Cloud, Power BI, or Tableau; advanced Excel and Power Point.
Languages Skills: Fluent English, written and spoken. Additional European languages are a plus.
Soft/Behavioral Skills: Structured and precise, with rigour on definitions and documentation. Systems thinking: connects business process, data structure, and technology. Explains data and AI concepts clearly to non-technical stakeholders. Curious about emerging data and AI technologies; comfortable with change and ambiguity. Strong ownership across multiple stakeholders and parallel deliverables. The 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.