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# Business Process Lead - SAP s/4hana Data (MDG...

- **Company:** Eliassen Group
- **Location:** Duluth, GA, United States
- **Experience:** Expert
- **Salary:** $218,400.0 - $249,600.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Data Validation, Data Governance, Data Migration, Middleware, SAP (Applications), SAP NetWeaver Data Management, Snowflake, SAP Business Technology Platform, Data Strategy, SAP S/4HANA, SAP MDG
- **Published:** July 19, 2026
- **Apply:** https://www.juju.com/job/00000000ghny6x

## About the Role

* Minimum one full lifecycle SAP S/4HANA implementation with ownership of data migration and/or master data governance

 * Hands-on experience with SAP data migration approaches, including template-based loads, staging, and SAP-to-SAP migration

 * Strong expertise across core SAP master data objects including Customer, Vendor, Material, Chart of Accounts, BOM, and Work Centers

 * Experience validating Data Migration Object Lists, mapping templates, and conversion acceptance criteria

 * Proven ability to work closely with System Integrators and act as the bridge between business and technical teams

 * Experience defining and validating integrations, including APIs, middleware, and RICEFW objects

Preferred Skills:

 * SAP S/4HANA or SAP MDG certification

 * Experience in manufacturing, utilities, or regulated industries

 * Familiarity with SAP BTP, Snowflake, and Cloud ALM

 * Experience in multi-workstream ERP transformation programs

Education Requirements:

Bachelor's degree or equivalent work experience

_Recruitment Transparency Notice_

## Description

* Lead end-to-end master data governance design across SAP S/4HANA, including ownership models, stewardship, naming standards, and approval workflows

 * Drive business-side execution of data migration, including validation of Data Migration Object Lists, mapping templates, and conversion results

 * Partner with System Integrator, Data Migration Lead, and Solution Architects to ensure alignment on data strategy, integrations, and cutover readiness

 * Define and validate RICEFW objects, including conversion and integration requirements, with a focus on field-level mapping and business rule accuracy

 * Establish data quality, lifecycle management, and data privacy frameworks to ensure regulatory compliance and successful migration outcomes


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