Key Responsibilities
- Define the end-to-end data conversion strategy, extraction rules, mapping specs, and cutover plan from Workday to SuccessFactors.
- Extract historical and active worker data from Workday using Workday Enterprise Interface Builder (EIB), Report-as-a-Service (RaaS), or WQL (Workday Query Language).
- Establish data architecture standards, data security protocols, and compliance controls for candidate and employee records.
- Define data cleansing rules, validation scripts, and acceptance criteria in partnership with HR Data Owners.
- Execute data extraction, transformation logic, complex field-mapping, and data loading across SFSF core modules
- Establish automated pre-load validation scripts to catch structural breaks, missing parent records, picklist mismatch errors, and orphan records before loading into SF.
- Conduct post-load data reconciliation between Workday source reports and SuccessFactors system reports to guarantee 100% headcount and transactional balance.
- Partner with HR Data Governance teams to identify legacy data quality gaps in Workday and drive pre-migration data cleanup campaigns.
- Coordinate defect resolution with technical and functional teams during testing phases.
- Lead data migration across all test cycles: Mock 1, Mock 2, SIT, UAT, and Final Cutover (Go-Live).
- Manage cutover timing, delta/catch-up data extraction strategies during system blackout periods, and freeze windows.
- Provide data quality dashboards and defect metrics to IT Leadership and HR Steering Committees.
Qualification
- 5+ years of hands-on data migration experience, with explicit experience converting data from Workday HCM to SAP SuccessFactors.
- At least 2 full lifecycle Workday-to-SuccessFactors migration project completed.
- Solid understanding of core global HR data structures across both platforms (Employee Central, Global Assignments, Concurrent Jobs).
Technical Skills
- SuccessFactors Tools: Expert knowledge of SuccessFactors Data Import Tools, MDF object structures, Picklists, Sequence / Foundation Object dependencies, and Rule Engines.
- ETL & Data Tools: Proficiency in SQL, MS Excel (VBA/Advanced formulas), SAP BODS (Data Services), Python/R, or Alteryx.
- Hybrid Integration: Familiarity with SAP Info porter, Business Integration Builder (BIB), CPI, or SAP Data Intelligence (if applicable).
- Workday Tools: Proficient in Workday Custom Reports, RaaS exports, EIB, and WQL data extractions.
Soft Skills
- Strong analytical, data profiling, and problem-solving skills.
- Ability to translate technical data specifications to non-technical HR business leaders.
- High attention to detail and risk management mindset under strict cutover timelines.
- Strong leadership and communication skills.
- Executive-level presentation capabilities.