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An innovative firm is seeking a skilled SAP Data Migration Consultant to lead the data cleansing and profiling process for migration into SAP S/4HANA. This role demands strong functional expertise in supply chain areas, particularly in Ariba and project management. The ideal candidate will possess extensive experience in data migration, ensuring data quality and accuracy throughout the process. Join a dynamic team where your contributions will significantly impact the success of critical projects. If you are proactive and detail-oriented, this opportunity is perfect for you.
4 days ago Be among the first 25 applicants
This range is provided by eTeam. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$75.00/hr - $80.00/hr
Title: SAP Data Migration Consultant
Location: Remote w/limited travel to Denver, CO
Skill Technical Area Must Have/Good to have
SAP S/4HANA Data Migration SAP S/4HANA Good to have
Data Cleansing & Profiling ETL / Data Quality Must Have
Ariba, Contract & Bid Management Supply Chain / Procurement Good to have
PTP (Procure to Pay) Process Understanding Functional – Supply Chain Good to have
Enterprise Portfolio & Project Management Functional – EPPM Good to have
Data Validation & Cutover Support SAP Project Management Must Have
Communication & Stakeholder Management Soft Skills Must Have
Data Migration Tools (e.g., LSMW, LTClient, BODS) SAP / ETL Tools Good to Have
Integration Testing & Mock Runs SAP Testing Life Cycle Must Have
Experience with Non-SAP Source Systems Legacy Data Migration Must Have
Role Overview
We are seeking SAP Data Migration Specialists to lead the cleansing and profiling of data migrating from non-SAP systems into SAP S/4HANA. This position requires strong functional expertise to understand the data migration objects in supply chain areas (e.g., Ariba, contracts, bid management, enterprise portfolio & project management, PTP). The ideal candidate will have hands-on experience with data quality improvements and an understanding of how accurate data supports seamless integration into S/4HANA.
Key Responsibilities
Data Assessment & Cleansing
Work with business and IT stakeholders to analyze existing data, detect duplicates or errors, and standardize fields for S/4HANA compatibility.
Implement data profiling techniques to ensure completeness, consistency, and clarity throughout the migration process.
Functional Expertise in Supply Chain
Provide insight into data objects related to Ariba, contract and bid management, enterprise portfolio & project management, and PTP processes.
Collaborate with cross-functional teams to define mapping logic that aligns with business requirements and S/4HANA best practices.
Data Migration Coordination
Engage with the technical teams responsible for executing the loading tasks into S/4HANA.
Ensure that migrated data is validated according to business rules, highlighting gaps or issues for resolution.
Testing & Validation
Participate in unit testing, integration testing, and mock cutovers to confirm data accuracy post-migration.
Coordinate with end-users to gather sign-off on final data sets and address any discovered defects or inconsistencies.
Cutover & Hypercare Support
Assist in planning the cutover approach for final data loads, considering freeze periods and rollback strategies if needed.
Provide initial support to business users after go-live, quickly addressing data-related issues or updates.
Qualifications & Skills
Education & Experience
Bachelor’s degree in Business, Supply Chain, Engineering, or a related field.
7-10 years of hands-on experience in data migration for SAP environments (ECC or S/4HANA), particularly focusing on supply chain objects.
Functional Knowledge
Proficient in areas like Ariba, contract/bid management, enterprise portfolio & project management, and PTP processes.
Able to interpret business requirements for these modules, ensuring the data migration accommodates the correct objects and structures.
Data Cleansing & Profiling Expertise
Demonstrated ability to analyze large volumes of data, detect anomalies, and improve data quality to ensure a smooth migration.
Familiarity with basic data quality tools or manual methods to unify and standardize records.
Soft Skills
Strong communication and stakeholder management abilities, especially when clarifying data-related issues with non-technical teams.
Proactive approach to problem-solving and attention to detail in a fast-paced, project-driven environment.
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