Job Purpose
Vuole saperne di più su questo lavoro? Scorra verso il basso per scoprire quali competenze, esperienze e titoli di studio sono necessari.

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/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.

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 Foundation & Architecture

-

- 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/4HANA and various data sources into SAP Business Data Cloud and Databricks, ensuring data flows correctly and completely.





Analytics & Business Intelligence

-

- 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/4HANA, 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/4HANA 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/4HANA 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 PySpark, 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 PowerPoint.

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.

- Turns ambiguous business needs into scoped, deliverable data requirements.

- Curious about emerging data and AI technologies; comfortable with change and ambiguity.

- Strong ownership across multiple stakeholders and parallel deliverables.

Salary range: 37,6 ,000

The salary range is based on gender-neutral criteria: applicable CCNL requirements, responsibilities, working conditions and market benchmarks for the role and location. xysqume Final compensation will be determined based on gender-neutral criteria: experience, skills, and internal equity.

#J-18808-Ljbffr

📌 Procurement Data & Digital Excellence Specialist (Roma)
🏢 Palo Alto Networks
📍 Roma