SAP SuccessFactors Data Migration Specialist

NTT DATA Services

Plano (TX)

On-site

USD 120,000 - 170,000

Full time

6 days ago
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Job summary

NTT DATA Services in Plano, TX is seeking a SAP SuccessFactors Data Migration Specialist to lead end-to-end data conversion from legacy HR systems into SAP SuccessFactors. You will drive extraction, mapping, cleansing, loading, and validation across multiple migration waves with cross-functional collaboration.

The ideal candidate has 12+ years in SAP SuccessFactors and 5+ years in hands-on data migration, including Workday-to-SuccessFactors migrations.

Qualifications

  • 5+ years 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 projects completed.
  • Solid understanding of core global HR data structures across both platforms (Employee Central, Global Assignments, Concurrent Jobs).

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 EIB, RaaS, or WQL.
  • Establish data architecture standards, data security protocols, and compliance controls for candidate and employee records.
  • Define data cleansing rules, validation scripts, and acceptance criteria with HR Data Owners.
  • Execute data extraction, transformation logic, complex field-mapping, and data loading across SF core modules.
  • Establish automated pre-load validation scripts to catch structural breaks, missing parent records, picklist mismatches, and orphan records before loading.
  • Conduct post-load data reconciliation between Workday source reports and SF system reports to guarantee 100% headcount and transactional balance.
  • 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.

Skills

SAP SuccessFactors
Data migration
Workday to SF migration
SQL
Excel VBA
SAP BODS
ETL tooling
Data mapping

Tools

Workday EIB
RaaS
WQL
BIB/CPI

Job description

SAP SuccessFactors Data Migration Specialist

Date: Oct 29, 2026

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a SAP SuccessFactors Data Migration Specialist to join our team in Plano, Texas (US-TX), United States (US).

We are looking for an SAP SuccessFactors Data Migration Specialist to lead the design and delivery the end-to-end data conversion strategy from legacy HR systems (e.g., SAP ERP HCM, Workday, PeopleSoft, ADP, or legacy databases) into SAP SuccessFactors.

This role drives data extraction, mapping, transformation, data cleansing, enrichment, loading, and post-load validation across multiple migration waves (SIT, UAT, Mock Loads, and Cutover Go-Live). The specialist collaborates closely with HR Business Process Leads, Technical Developers, Functional Consultants, and System Integrators to guarantee 100% data integrity and regulatory compliance.

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.

Min/Required Qualification:

  • 12+ years of SAP SuccessFactors experience.
  • 5+ years of hands‑on data migration experience, with explicit experience converting data from Workday HCM to SAP SuccessFactors

#LI-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us .

This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

NTT DATA is an equal opportunity employer.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

For our EEO Policy Statement, please click here .

If you'd like more information on your EEO rights under the law, please click here .

For Pay Transparency information, please click here .

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