Managing SAP SNP Lead

About the role

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Responsibilities

• Design and implement data management solutions using eHub, Syniti, SAP Data Intelligence, and/or SNP, ensuring high-quality data governance and migration outcomes.
• Advise on Data Quality: Provide expert advice on SAP Data Quality, helping clients to identify and address data quality issues and develop effective data governance strategies.
• Build Data Governance Frameworks: Develop and implement data governance frameworks that meet client needs, leveraging SAP Extended EIM solutions to ensure data integrity and compliance.
• Collaborate with Clients: Work closely with clients to understand their data management needs, providing tailored solutions and guidance on SAP Extended EIM best practices.
• Deliver Solution Outcomes: Deliver high-quality solution outcomes that meet client expectations, ensuring seamless data migration and integration with existing systems.

This role can be performed from anywhere in the US.

Requirements

Required Technical And Professional Expertise:

• 8+ years of experience in SAP data migration, with at least 2 end-to-end S/4HANA migration projects using SNP CrystalBridge.
• Hands-on expertise in SNP CrystalBridge Transformation Platform, especially with Bluefield migration methodology: Proven experience in using SNP CrystalBridge for data transformation and system conversions (Bluefield, Shell, or Selective Migration).
• Strong understanding of SAP data models (Customer/Vendor/Material Master, Finance, etc.) and legacy system structures.
• Proven experience with data cleansing, validation, and reconciliation techniques.
• Deep Expertise in SAP Extended EIM: Proven experience with SAP Extended EIM solutions, including eHub, Syniti, SAP Data Intelligence, and/or SNP, with