SAP BW4HANA & BO Architect

Job Description:

Tech Stack:

1. SAP BW/4HANA and SAP Business Objects

2. Experience in working on carve-out programs

3. Customer facing skills

Job Description: SAP BW/4HANA & BusinessObjects Architect – Carve-Out Programs (10–12 Years Experience)

Role Overview

We are seeking a highly experienced SAP BW/4HANA and BusinessObjects (BO) Architect to lead data and analytics architecture for SAP carve-out/divestiture programs. The role focuses on designing and executing data warehouse separation, reporting transformation, and analytics continuity strategies during complex business separations.

The ideal candidate will bring deep expertise in SAP BW (BW on HANA / BW/4HANA), SAP BusinessObjects BI Suite, and strong experience in data migration, system carve-outs, and enterprise reporting transformation.

Key Responsibilities

1. Data & Analytics Architecture Leadership

Define the target data architecture for carve-out scenarios, including:

BW landscape split or redesign

Reporting and analytics separation strategy

Design scalable BW/4HANA models (InfoObjects, ADSOs, CompositeProviders, Open ODS Views).

Architect BO reporting layer including universes (UNX), Web Intelligence, Crystal Reports.

2. Carve-Out Strategy & Data Separation

Lead analytics workstream for:

Due diligence and data discovery

Day 1 reporting readiness

TSA definition and exit plans

Define approach for:

Selective data extraction for carved-out entities

Historic vs. current data retention strategy

Design logical vs. physical system separation strategies:

Shell BW systems

New BW/4HANA instance vs. carve-out from existing instance

3. SAP BW/4HANA Solution Design

Lead design and optimization of:

Data modeling and ETL/ELT pipelines

Data flows using ODP, SLT, extractors, CDS views

Implement high-performance models leveraging:

HANA pushdown

LSA++ architecture principles

Ensure scalability, performance, and future readiness.

4. SAP BusinessObjects (BO) Architecture

Design and manage BO reporting landscape:

Universe design (IDT/UDT)

Web Intelligence, Lumira, Analysis for Office

Handle BO content separation:

Universe segregation

Report ownership migration

Ensure security model alignment for carved entities.

5. Data Migration & Transformation

Define and execute analytics data migration strategy:

Data extraction, cleansing, transformation, and validation

Ensure consistency between:

Source systems (ECC/S/4HANA)

BW objects and reporting layers

Use tools such as:

SAP Data Services

BW Transport Management

LVM (Landscape Transformation)

6. Integration & Source System Management

Manage BW integration with:

SAP ECC / S/4HANA

Non-SAP data sources (databases, files, APIs)

Ensure continuity of data ingestion pipelines during and after separation.

Handle source system reconfiguration post carve-out.

7. Testing, Cutover & Deployment

Lead:

Data reconciliation testing

BI validation (reports, dashboards)

Define and execute cutover strategy:

Delta data loads

Reporting freeze windows

Support go-live readiness and hypercare support.

8. Security & Compliance

Implement and manage:

Role-based access control in BW and BO

Data-level security (authorization objects, analysis authorizations)

Ensure compliance with:

GDPR, data privacy, and regulatory requirements

9. Stakeholder & Program Collaboration

Work closely with:

Program managers, functional teams, finance/reporting stakeholders

Data governance teams

Conduct workshops to map reporting requirements during separation.

Act as trusted advisor for analytics transformation strategy.

10. Performance Optimization & Governance

Monitor and optimize:

Data load performance

Query execution times

Establish standards for:

Naming conventions

Data models

Reporting frameworks

Required Qualifications

Bachelor’s or Master’s degree in IT, Engineering, or related field.

10–12 years of SAP experience with strong focus on:

SAP BW (7.x, BW on HANA, BW/4HANA)

SAP BusinessObjects BI Suite

Proven experience in SAP carve-out, divestiture, or M&A programs.

Strong knowledge of:

Data warehousing concepts

SAP data extraction mechanisms

Reporting and analytics architectures