Diageo India Pvt Ltd

Senior Manager - Data Integration (S4 Hana)

Diageo India Pvt Ltd
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 8 yearsMin. 8 years

Job Description

Senior Manager - Data Integration (S4 Hana)

Job Description :


About the Function: 

Digital & Technology (D&T) is transforming how Diageo works, from how we source ingredients to how we connect with customers and consumers around the world.

This is where data, technology and creativity come together to solve real business challenges and unlock new opportunities. Whether it’s building platforms, using data to drive decisions or shaping digital experiences, the work here has tangible impact across every part of our business.

You’ll be part of a team that’s constantly learning, experimenting and pushing boundaries, with the freedom to explore new ideas and the support to turn them into reality.

Job Title

Sr. Manager – Data Integration (S4Hana & Azure Data Lake)

Location

Bangalore HO / Hybrid

Reporting To

Head of Data and Analytics

Role Purpose

We are seeking an experienced Manager to lead the design, implementation, and transition of data extraction and replication processes from SAP S/4HANA to Azure Data Lake as part of our enterprise S/4HANA transformation program.

The role will be responsible for managing changes to SAP extractors, data structures, replication frameworks, and data pipelines while ensuring continuity of business reporting, analytics, and downstream data consumption. The successful candidate will act as the bridge between SAP functional teams, data engineering teams, analytics stakeholders, and system integrators to deliver a robust and scalable data architecture.

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

  • Bachelor's 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.
  • Proven experience implementing SAP-to-Azure data integration solutions.

 

Essential Experience

SAP

  • SAP ECC and SAP S/4HANA data architecture.
  • SAP extractors and operational reporting frameworks.
  • ODP framework.
  • CDS Views and Embedded Analytics.
  • SAP BW/BW4HANA (preferred).
  • Understanding of key S/4HANA simplification items and table changes. 

Data Integration

  • Real-time and batch replication architectures.
  • ETL/ELT frameworks.
  • Data quality and reconciliation processes.
  • Large-scale enterprise data migration programs. 

Leadership & Behavioural Competencies

  • Strong stakeholder management and business partnering skills.
  • Excellent communication and workshop facilitation capabilities.
  • Analytical and problem-solving mindset.
  • Ability to influence senior business stakeholders.
  • Strong collaboration and cross-functional leadership skills.
  • Results-oriented with the ability to manage multiple priorities in a complex transformation environm

    Enterprise Architecture Job Family Description:
    Roles in this job family have skills and expertise in defining standards and policies to ensure an integrated landscape of interdependent technology solutions. They design and develop information technology architecture solutions to meet business requirements and ensure the compatibility and optimisation of proposed digital products, services and enhancements. Roles may cover different elements of the architecture from Enterprise Architecture, Solution, Network and Infrastructure related skill sets.

Working with us

Flexibility is key to our success. Talk to us about what flexibility means to you, so that you’re supported to manage your wellbeing and balance your priorities from day one. 

We recognise and value performance, offering our people a highly competitive Rewards and Benefits package including: 

Our purpose is crafting iconic drinks chosen for life’s moments. And it’s our people, with their different experiences, perspectives and talents, who make that possible. 

We value diversity in its broadest sense and want everyone to feel they can belong, contribute and strive for their personal best. You’ll work alongside people with different backgrounds, experiences and perspectives — challenging, supporting and learning from one another as one outstanding team. 

Together, we’re constantly learning and improving, combining the strength of our people, capabilities and iconic brands to raise the bar, grow and win. Wherever you join us, you’ll have the opportunity to contribute, make an impact and play your part in making life’s moments mean a little more. 

Ready to bring your best? This could be your opportunity. 

 

If you require a reasonable adjustment, please ensure that you capture this information when you submit your application. 

 


 

Worker Type :

Regular

Primary Location:

Bangalore HO

Additional Locations :

Job Posting Start Date :

2026-09-23

Experience Level

Senior Level

Job role

Work location
Work locationBangalore HO, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryBusiness Intelligence & Analytics
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 8 years

About company

Name
NameDiageo India Pvt Ltd
Job posted by Diageo India Pvt Ltd

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