The IT Systems Engineer Senior is responsible for providing technical leadership in data analysis, data quality, and SAP data migration initiatives supporting enterprise-wide digital transformation programs. This role combines deep expertise in SAP S/4HANA data migration, governance, and quality with strong analytical capabilities to deliver accurate, reliable, and business-ready data across complex technology landscapes.
The successful candidate will lead end-to-end data migration activities, establish data quality standards, develop scalable migration processes, and partner with business and technical teams to ensure successful delivery of large-scale SAP transformation programs. This individual will also provide thought leadership in data analytics, governance, automation, and continuous improvement while influencing enterprise data management practices.
Key Responsibilities:
Lead end-to-end SAP data migration activities across large-scale SAP S/4HANA transformation programs.
Analyze legacy data sources and SAP data models to define and execute source-to-target mappings for master and transactional data.
Perform data profiling, quality assessments, root cause analysis, and data validation to ensure completeness, consistency, and accuracy.
Drive data cleansing, enrichment, standardization, remediation, and reconciliation activities across multiple business functions.
Design, build, validate, and execute migration datasets using SAP migration tools including SAP BODS, BDC, and other approved migration technologies.
Develop reusable migration frameworks, automation capabilities, data quality controls, governance standards, and best practices to support scalable delivery.
Apply advanced analytical techniques to identify data quality, integrity, redundancy, and integration issues, recommending sustainable solutions across the data lifecycle.
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Create dashboards, reports, metrics, and visualizations that provide actionable insights into data quality, migration readiness, risks, and program health.
Establish and monitor enterprise data quality metrics and support ongoing data governance initiatives and compliance requirements.
Support ETL development, transformation, load execution, mock conversions, dress rehearsals, cutover planning, production deployment, and post-go-live stabilization.
Collaborate closely with business stakeholders, SAP functional consultants, solution architects, technical teams, and program leadership to ensure successful migration outcomes.
Provide technical leadership, coaching, and mentoring to data analysts and project teams while promoting best practices in data management and governance.
Stay current with emerging technologies including AI-assisted migration capabilities, SAP Business AI, SAP Joule, cloud data platforms, and modern data engineering practices.
Core Competencies
Data Analytics
Data Quality Management
Data Profiling
Data Governance
Data Communication & Visualization
Data Literacy
SAP Data Migration
ETL & Data Integration
Project Management
Customer Focus
Action Oriented
Balances Stakeholders
Communicates Effectively
Manages Ambiguity
Tech Savvy
- Values Differences
Education, Licenses, Certifications:
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline, or equivalent practical experience.
Export control or regulatory licensing may be required where applicable.
Experience:
Required
10+ years of experience in data management, data analysis, data quality, or SAP data migration.
Proven experience delivering SAP data migration workstreams within large-scale SAP S/4HANA transformation programs.
Strong understanding of SAP S/4HANA business processes, data structures, and enterprise data models.
Hands-on experience migrating both master and transactional data across domains such as Plan to Build (P2B), Material Master (MM), and Extended Warehouse Management (EWM).
Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution.
Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms.
Strong knowledge of data governance, data quality frameworks, profiling techniques, metadata management, and data catalog solutions.
Ability to independently manage complex technical challenges while influencing cross-functional stakeholders.
Strong communication, analytical, problem-solving, and project management skills.
Preferred
Experience with SAP S/4HANA 2021 or later implementations and upgrade programs.
Knowledge of SAP Business AI capabilities and SAP Joule.
Experience leveraging AI-assisted tools for data profiling, mapping, migration acceleration, and quality assessment.
Experience with Agile software delivery methodologies.
Exposure to cloud-based data platforms, clustered computing, IoT technologies, and Big Data ecosystems.
Seeking a hands-on SAP Data professional who is equally comfortable analyzing data, resolving complex issues, engaging with business stakeholders, and executing migration activities. This is a critical role and requires a self-starter who takes ownership, delivers outcomes, has the credibility and experience to lead critical data activities and data quality across complex business and technical environments within a major S/4HANA transformation program.
Experience:
Required
10+ years of experience in data management, data analysis, data quality, or SAP data migration.
Proven experience delivering SAP data migration workstreams within large-scale SAP S/4HANA transformation programs.
Strong understanding of SAP S/4HANA business processes, data structures, and enterprise data models.
Hands-on experience migrating both master and transactional data across domains such as Plan to Build (P2B), Material Master (MM), and Extended Warehouse Management (EWM).
Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution.
Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms.
Strong knowledge of data governance, data quality frameworks, profiling techniques, metadata management, and data catalog solutions.
