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Enterprise Data Platform Lead & SAP Supply Chain Reporting Product Owner

Virtusa
London, GBR
Full-time
Senior · 15+ years experience
Onsite
Discovered 2 weeks ago
Azure DatabricksDelta LakeAzure Data Factory (ADF)SQLSAP S/4HANASAP BW/HANA
Free

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Key skills for this role

Azure DatabricksDelta LakeAzure Data Factory (ADF)
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Key Responsibilities

  • Data Architecture & CDL Governance: Design, implement, and govern the enterprise Common Data Layer (CDL) on Azure Databricks using Delta Lake and L0–L1–L2 architectures. Establish data quality frameworks, schema evolution standards, and deduplication logic.
  • Pipeline & Integration Engineering: Oversee the creation of scalable ETL pipelines in Azure Data Factory (ADF), utilizing the SAP CDC Connector and ODP framework to ingest data from S/4HANA (CDS views) and BW cubes into the ingestion layers.
  • Digital Product Ownership: Lead end-to-end reporting development cycles using Agile methodologies. Define product roadmaps, translate complex business needs into Business Requirement Documents (BRDs), manage JIRA backlogs, and lead Hypercare/UAT phases.
  • Supply Chain Analytics Delivery: Partner with global cross-functional workstreams to source, curate, and profile data from S/4HANA tables. Build and optimize data models supporting Order-to-Cash (OTC), Sales, Inventory, and S&OP planning.
  • BI Visualisation: Direct the transformation and connection of Azure Databricks data assets into robust, secure, and intuitive Power BI dashboards.

Technical Expertise

Cloud Data Platforms: Advanced knowledge of Azure Databricks, Delta Lake, Azure Data Factory (ADF), and SQL querying.

SAP Ecosystem: Deep data discovery skills within SAP S/4HANA, SAP BW/HANA, ODP/ODQ frameworks, and APO (DP/SNP).

BI Tools: Strong capability in Power BI dashboard design, data modeling, and data access control management (e.g., PowerApps).

Functional & Leadership Skills

  • Domain Knowledge: Profound understanding of Supply Chain processes (Quality, Warehouse, Inventory, Production Planning) and core SAP SD / Order-to-Cash (OTC) workflows.
  • Experience: Minimum of 15+ years of experience in enterprise data platforms, with a proven track record in regulated or fast-moving industries (e.g., Consumer Goods, Pharmaceuticals, Medical Devices) operating within GxP-compliant frameworks.
  • Stakeholder Management: Exceptional communication skills with a proven ability to align regional/global workstream leaders, data engineering teams, and executive leadership.

Preferred Qualifications

  • A Bachelor’s Degree in Engineering, Computer Science, or a related technical discipline is required.
  • Postgraduate qualification in Management, Systems, Sales or Marketing is preferred.
  • Prior hands-on experience as an SAP SD Functional Consultant in the Pharma industry is required.
  • 10+ years of work experience in Supply Chain workstreams (including Quality, MAKE, Inventory, and Planning) is mandatory.

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