SAP SuccessFactors Data Migration Specialist


NTT DATA Americas, Inc
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Job Details
Skills
- DATA MIGRATION
- DATA CONVERSION
- SUCCESS FACTORS
- LEGACY HR
- HR DATA
- DATA EXTRACTION
- DATA CLEANSING
- WORKDAY HCM
Summary
Plano, Texas - W2 hourly
NTT DATA's Client is seeking 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.
Executive‐level presentation capabilities.
#LI-North America
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [120 - 130$ W2 hourly range]. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
- Dice Id: CUEDATA
- Position Id: 26-02657
- Posted 3 hours ago
Company Info
At NTT DATA, you have endless opportunities to think big, act bold, and take ownership.
As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work.
Proudly a Global Top Employer, NTT DATA is part of NTT group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn and build your network. Make this the place where you grow.
