Overview
Lead the end-to-end data conversion and migration of legacy non-SAP ERP data into SAP S/4HANA, owning the conversion strategy, data quality, mock and cutover cycles, and the team delivering them.
What you'll do
- Own the end-to-end data conversion strategy: scope, object inventory, source-system profiling, extraction approach, transformation rules, load sequencing, and validation design.
- Lead legacy data discovery across non-SAP ERPs where documentation is thin and business logic is undocumented, reverse-engineering meaning from the data itself rather than relying on legacy system owners alone.
- Design and operate the migration factory, including reusable templates, mappings, rule libraries, and automation, so each wave costs less and runs cleaner than the last.
- Own mock conversion cycles end to end, with defined defect thresholds and reconciliation criteria as formal gates into cutover.
- Plan and execute production cutover loads, including timing, dependencies, fallback, and post-load reconciliation.
- Establish measurable data quality standards with business-owned acceptance criteria per object, and report readiness as a number, not a status color.
- Build proactive cleansing programs in the legacy environment ahead of extraction, with business data owners accountable for remediation.
- Instrument profiling, validation, and reconciliation so quality issues surface during mock cycles rather than during hypercare.
- Own post go-live data defect root cause analysis and drive fixes into the template and the factory, not just into the affected instance.
- Partner with the MDG lead to ensure converted data enters a governed steady state, including ownership, stewardship, workflow, and rules that prevent immediate re-degradation.
- Define the sustaining operating model for master data across segments after each wave closes.
- Lead a team of data leads, ETL developers, functional data analysts, and partner resources across onshore and offshore.
- Hold system integrator and AMS partners accountable for conversion quality, staffing continuity, and delivery commitments.
- Communicate data readiness credibly to program and segment leadership, including when the honest answer is that a wave is not ready.
What you'll need
- 12-15+ years in enterprise data migration
- At least 8 years focused on SAP conversion
- 5+ years leading teams
- Proven delivery of multiple full-cycle non-SAP to S/4HANA conversions at global scale, with heterogeneous legacy sources, multi-country, multi-wave
- Greenfield or selective transition experience specifically; system conversion experience alone is not sufficient
- Deep hands-on command of SAP Migration Cockpit (staging tables and LTMOM), SAP Data Services / BODS, and at least one enterprise migration platform such as Syniti ADM, BackOffice, or equivalent
- Strong SQL and scripting (Python or equivalent), able to profile and interrogate source data personally, not only direct others to do it
- Deep functional data knowledge across core objects: material master, BOM and routing, customer and vendor, pricing, open orders, inventory, fixed assets, open AR and AP, and GL balances
- Demonstrated ownership of data quality frameworks with business-facing metrics and formal acceptance gates
- Experience with SAP MDG or a comparable master data governance platform
- Track record of recovering or hardening a migration that was previously failing
Nice to have
- RISE with SAP experience; familiarity with SAP Datasphere, Cloud ALM, and BTP-based data services
- Signavio or comparable process mining used to inform conversion scope and rules
- Manufacturing, industrial, or engineered-products data complexity (configurable products, service parts, long-lived installed base)
- Experience building a conversion capability subsequently reused for acquisition integration
Details
Read the full description and apply on the company’s own careers page.