Senior SAP Data Migration & Governance Lead

EY; Birmingham (AL); Remote; USD 103,000 - 188,000; Full time

Job summary

EY in the United States seeks a Senior Technology Analyst to bridge business needs and SAP solutions, shaping governance, data quality, and migration strategies across SAP MDG, Datasphere, Data Services, and related tools. You will collaborate with stakeholders and technical teams to translate requirements into scalable architectures.

This role requires 2–4 years with SAP modules, data modeling, ETL, and a willingness to travel up to 40–60%.

Qualifications

• Bachelor's degree in a relevant field and 2–4 years SAP experience with full-cycle implementations.
• Experience with SAP Data Services, SAP Information Steward, SAP MDG, SAP Datasphere, SAP Data Intelligence and/or Migration Cockpit.
• Experience in data modeling, data migration, data quality management, and ETL processes.
• Familiarity with SQL, data warehousing concepts, and integration methods (CPI, SLT, APIs).
• Knowledge of data governance, master data management, and data security standards.
• Willingness to travel 40–60%.

Responsibilities

• Interacting with business stakeholders to evaluate models and processes.
• Analyzing implemented solutions to verify they meet requirements.
• Collaborating with technical teams to design and deliver system architectures.

Skills

Data governance

SAP expertise

Requirements gathering

Stakeholder management

System architecture

SQL / data warehousing

Education

Bachelor's degree

Tools

SAP Data Services

SAP Information Steward

SAP MDG

SAP Datasphere

SAP Data Intelligence

Migration Cockpit

Job description

EY in the United States seeks a Senior Technology Analyst to bridge business needs and SAP solutions, shaping governance, data quality, and migration strategies across SAP MDG, Datasphere, Data Services, and related tools. You will collaborate with stakeholders and technical teams to translate requirements into scalable architectures.

This role requires 2–4 years with SAP modules, data modeling, ETL, and a willingness to travel up to 40–60%.