Sr Manager - Data Integration (S4 Hana)

Job Summary


Key Responsibilities

S/4HANA Data Extraction Replication

• Lead the design and implementation of data extraction strategies from SAP S/4HANA into Azure Data Lake.
• Assess existing SAP ECC/BW extractors and define migration and replacement strategies for S/4HANA.
• Design and manage extraction mechanisms including:
  • SAP CDS Views
  • ODP (Operational Data Provisioning)
  • SAP Extractors
  • SLT (SAP Landscape Transformation)
  • SAP Datasphere integrations (where applicable)
  • SAP Data Intelligence/Data Services
• Define approaches for real-time, near real-time, and batch data replication.

Azure Data Lake Integration

• Manage end-to-end data movement from S/4HANA into Azure Data Lake.
• Collaborate with Azure Data Engineering teams on:
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Databricks
  • Event-driven architectures
  • Delta Lake frameworks
• Ensure scalable, performant, and secure data ingestion pipelines.

Data Model Table Transition Management

• Analyze impacts of S/4HANA simplification on source tables and data structures.
• Identify changes between ECC and S/4HANA data models, including:
  • Universal Journal (ACDOCA)
  • Material Ledger
  • Business Partner Model
  • Inventory Management changes
  • Procurement and Sales table changes
• Define source-to-target mapping and transformation logic.
• Govern transition of legacy tables and custom extractors to S/4HANA-compatible structures.

Data Governance Quality

• Establish controls to ensure data completeness, accuracy, and reconciliation between SAP and Azure environments.
• Define data validation, monitoring, and exception handling processes.
• Support data lineage, metadata management, and audit requirements.
• Partner with Data Governance teams to ensure compliance with enterprise standards.

Stakeholder Vendor Management

• Work closely with:
  • SAP Functional Teams
  • SAP Basis Teams
  • Data Analytics Teams
  • Azure Engineering Teams
  • System Integrators
  • Business Reporting Teams
• Manage delivery from implementation partners and third-party vendors.
• Drive issue resolution and decision-making during migration and cutover phases.

Program Delivery

• Support planning and execution of:
  • Data migration activities
  • Testing cycles
  • Mock conversions
  • Dress rehearsals
  • Cutover activities
• Identify risks and dependencies related to data integration and reporting continuity.
• Develop transition plans from legacy extraction frameworks to S/4HANA-based architecture.

Required Qualifications

• Bachelors degree in Computer Science, Information Systems, Engineering, or related discipline.
• 8-12+ years of experience in SAP Data Analytics environments.
• Minimum 3-5 years of experience in SAP S/4HANA transformation programs.

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