Head of Data Engineering & Analytics
- Small ScopeApplyremote type: Hybrid Workinglocations: Torino, IT: Malvern, PAtime type: Full timeposted on: Posted Todayjob requisition id: JR-17546We are seeking great talent to help us build The DNA of tech.Vishay manufactures one of the world's largest portfolios of discrete semiconductors and passive electronic components that are essential to innovative designs in the automotive, industrial, computing, consumer, telecommunications, military, aerospace, and medical markets. We help the world's most in-demand technologies come to life. Every day our products touch your life and the lives of people across the world, though you likely do not know it. Come join us and help us build The DNA of tech.
Learn more at Do you want to help us build the DNA of tech.? Vishay Italy is currently seeking applicants for Head of Data Engineering & Analytics. In this position, you will be accountable for defining, governing, and evolving the enterprise‐wide data architecture across a complex, SAP‐centric application andscape. This role ensures that master, transactional, and analytical data are consistently defined, governed, integrated, and consumed across core platforms including SAP (ERP, BW, GTS, Concur), Salesforce CRM, MES systems, Quoting and Pricing platforms, Finance, Treasury, Trade Compliance, and Analytics.
The role operates as the enterprise design authority for data, leads the data governance and MDM operating model, and manages a small team of data engineers to translate architectural decisions into sustainable execution.
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Vishay Semiconductor Italiana spa is site focused on the design, development and production of power diodes and power modules. Define, maintain, and evolve the Enterprise Data Architecture blueprint, including:Core enterprise data domains (Customer,



Product/Material, Vendor, Pricing, Finance, Trade Compliance)Conceptual and logical enterprise data modelsCanonical data definitions and semanticAct as Design Authority for all data‐related initiatives, ensuring alignment with enterprise architecture principles.
Define and enforce enterprise data standards (modeling, naming, semantics, integration).
Master Data & MDM Strategy Ownership:Own the enterprise Master Data Management (MDM) strategy and execution roadmap.
Customer, Product/Material) and rollout phases.
Establish golden record, survivorship, hierarchy, and relationship‐management rules.
Lead the design and implementation governance of the selected MDM platformOversee data migration, cleansing, and harmonization activities linked to MDM adoption.Data Governance & Data Quality:Establish and run the Enterprise Data Governance operating model, including:Data ownership and stewardship frameworkGovernance forums, decision bodies, and escalation mechanismsDefine and monitor enterprise data quality rules and KPIs (completeness, accuracy, uniqueness, timeliness).
Implement structured data issue management and remediation processes.
Ensure data lineage, traceability, and auditability for critical business and regulatory data.
Cross‐Platform Data Consistency & System‐of‐Record DefinitionDefine and maintain System‐of‐Record (SoR) / System‐of‐Engagement (SoE) principles across:SAP (ERP, BW, GTS,



Concur)Salesforce CRMMES systems (e.g. Promis, Critical Manufacturing)Quoting and pricing platformsFinance, Treasury, AP automation, and EDI solutionsResolve data ownership conflicts and duplication at enterprise level.
Ensure consistent and governed data synchronization patterns across systems.Integration & Data Semantics Governance:Define enterprise canonical data models and data contracts for cross‐system integrations.
Govern data flows implemented via SAP BTP, MuleSoft, and EDI platforms.
Define integration patterns (API, event‐driven, batch, EDI) from a data semantics, integrity, and lifecycle standpoint.
Analytics & Reporting Alignment:Ensure conformed dimensions and consistent master data usage across analytics and planning platforms (e.g. SAP BW).
Align enterprise data definitions with KPIs, reporting, and planning use cases.
Execution OversightTranslate architectural and governance decisions into executable implementation backlogs.
Review technical designs and ensure adherence to enterprise standards.
Coordinate delivery with internal teams and external partners.**Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.10+ years of experience in Enterprise Data Architecture, Data Governance, or related roles.
Demonstrated experience in SAP‐centric enterprise landscapes integrated with multiple non‐SAP platforms.
Proven experience designing and governing Master Data Management solutionsStrong background in enterprise integration concepts and data exchange patterns.
Experience operating in complex, global, and regulated environments.
Enterprise data modeling (conceptual, logical, canonical)Data governance frameworks and stewardship modelsMaster dat

📌 Head of Data Engineering and Analytics (Italia)
🏢 Vishay Intertechnology
📍 Italia