Senior SAP Data Migration Lead — S/4HANA Expert

TEEMA; Lawrenceville (NJ); On-site; USD 117,000 - 131,000; Full time

Job summary

TEEMA is seeking an experienced SAP Data Conversion Lead in Lawrenceville, New Jersey, to own the data conversion strategy and end-to-end data migration workstreams for a large SAP S/4HANA transformation.

You will partner with business stakeholders, SAP functional teams, technical teams, and implementation partners to ensure data quality, timely delivery, and successful production cutover.

Qualifications

• SAP S/4HANA data migration across full lifecycles
• Lead Data Conversion on large SAP programs
• Hands-on data extraction, cleansing, mapping and reconciliation
• Migration of master and transactional data into SAP
• Lead mock conversions and production cutover
• Knowledge of SAP migration tools (S/4HANA Migration Cockpit, SAP Data Services/BODS, LSMW)

Responsibilities

• Lead the end-to-end SAP data conversion/migration workstream.
• Develop and manage the data migration strategy, plan, scope, timelines, and deliverables.
• Lead legacy data extraction, cleansing, mapping, transformation, loading, validation and reconciliation.
• Facilitate data mapping and data quality sessions with business SMEs and SAP functional teams.
• Manage master, reference, and transactional data migration across SAP functional areas.
• Lead multiple mock conversion cycles, defect resolution, reconciliation and business validation.
• Coordinate migration activities across functional and technical teams.
• Develop and execute the production cutover/data migration plan.
• Track data conversion risks, issues, dependencies, and readiness.
• Ensure migrated data meets quality and reconciliation before business sign-off.

Job description

TEEMA is seeking an experienced SAP Data Conversion Lead in Lawrenceville, New Jersey, to own the data conversion strategy and end-to-end data migration workstreams for a large SAP S/4HANA transformation.

You will partner with business stakeholders, SAP functional teams, technical teams, and implementation partners to ensure data quality, timely delivery, and successful production cutover.