SAP SuccessFactors Data Lead
We are seeking a SuccessFactors Data Lead to own and drive the end-to-end data strategy, architecture, and delivery across a complex, global enterprise operating across multiple business clusters, legal entities, and joint ventures.
The role will lead all aspects of data design, migration, governance, and quality across multiple SAP SuccessFactors instances, legacy systems, and fragmented HR tools, ensuring a clean, consistent, and trusted data foundation to enable intelligent HR operations, advanced analytics, and GenAI/agentic frameworks.
Key Responsibilities
1. HR Data Strategy & Architecture
Define and own the enterprise HR data strategy across multiple SuccessFactors instances, legacy systems, and manual processes
Design the target-state data architecture including data models, hierarchies, taxonomies, and master data standards
Establish a harmonized global data framework while accommodating regional, legal entity, and joint venture variations
Align data architecture to support analytics, reporting, and AI/GenAI readiness
2. Data Migration & Conversion
Lead end-to-end data migration planning and execution from legacy systems and manual tools into SAP SuccessFactors
Define migration strategy, sequencing, and tooling across multiple instances and clusters
Establish data mapping, transformation rules, and validation frameworks
Manage multiple migration cycles including mock runs, reconciliation, and cutover
3. Data Quality & Cleansing
Design and implement data quality frameworks including profiling, cleansing, deduplication, and enrichment
Define data quality KPIs and monitoring mechanisms to ensure ongoing data health
Drive data remediation activities with business stakeholders to resolve quality issues at source
Ensure data quality standards meet the threshold required for GenAI and agentic framework adoption
4. Data Governance & Standards
Establish data governance policies, roles, and responsibilities across global HR and IT teams
Define and enforce data ownership, stewardship, and accountability models
Create and maintain data dictionaries, business glossaries, and metadata standards
Lead data governance forums and ensure compliance with organizational and regulatory requirements
5. Multi-Instance Data Harmonization
Drive data harmonization across multiple SAP SF instances, ensuring consistency in:
Foundation objects (business structure, job framework, pay structure)
Picklists, custom fields, and configuration data
Cross-instance reporting and analytics data models
Identify and resolve data conflicts, redundancies, and gaps across clusters
6. Integration & Data Flows
Define data integration requirements between SuccessFactors and:
Non-SAP HR tools and platforms
Payroll, finance, and downstream systems
Reporting and analytics platforms
Ensure data consistency, traceability, and auditability across all integration touchpoints
Works in close partnership with the Integration & Reporting Lead on data contracts — ownership of integration design sits with the Integration Lead, APIs and middleware design.
Engagement with ITSM/ServiceNow data owners to ensure consistency between HR service management data and SF EC master data.
7. Stakeholder Management & Team Leadership
Partner with HR, IT, Total Rewards, Finance, and business stakeholders across regions and clusters
Lead and mentor a team of data analysts, migration specialists, and data stewards
Drive workshops, data discovery sessions, and validation reviews with business and technical teams
Act as the subject matter expert (SME) for all HR data related decisions and escalations
8. Business Value Realization
Align data strategy to core business outcomes:
Improved data quality, accuracy, and consistency across the enterprise
Reduced manual data handling and reconciliation effort
Trusted data foundation to enable GenAI, agentic frameworks, and advanced analytics
Enhanced reporting and decision-making capabilities for HR and leadership
Establish KPIs and value tracking mechanisms
Key Requirements
Experience
8+ years in HR technology with deep expertise in HR data management within SAP SuccessFactors
Proven experience as a Data Lead or Senior Data Consultant on large-scale, global HR transformation programs
Experience handling:
Multi-instance SAP SF data landscapes
Global organizations with multiple legal entities, data structures, and regulatory requirements
Large-scale data migration from legacy and manual systems into SuccessFactors
Functional & Technical Expertise
Strong knowledge of:
Strong functional understanding of the SAP SuccessFactors Employee Central data model, including foundation objects, position management, job framework, and employee/employment record structures. This role requires more than technical data management capability — the Lead must understand how HR data is structured and governed within SF EC to make sound data design and migration decisions.
Data migration tools and methodologies (SF Data Import, Migration templates, ETL tools)
Data governance frameworks and master data management principles.
Working knowledge of GDPR, PDPA, and equivalent regulations as they apply to HR data architecture, migration, and cross-border data flows. Experience defining data privacy controls within SF data models.
Experience with:
Data migration tooling such as Spinifex, OpenText, or equivalent HR data migration platforms. Where dedicated tooling is not available, strong proficiency in Excel scripting and data manipulation is essential to support manual migration and cleansing activities.
Data masking tools or techniques to ensure personal and sensitive employee data are appropriately protected during migration, testing, and validation activities.
Data profiling, cleansing, and quality management tools.
Integration data flows (SAP CPI / middleware).
HR reporting and analytics (Story Reports, Ad Hoc Reports, People Analytics).
Transformation & Innovation
Strong understanding of:
Data readiness requirements for AI / GenAI and agentic frameworks
Data quality maturity models and continuous improvement approaches
Emerging trends in HR data management and people analytics
Leadership & Consulting Skills
Ability to:
Lead cross-functional teams and manage delivery across multiple data workstreams
Translate complex data challenges into structured, actionable plans
Influence senior stakeholders including HR leadership and IT governance
Manage competing priorities and data dependencies across clusters and geographies
Required Qualifications
SAP SuccessFactors certification (Employee Central preferred).
Experience with enterprise data governance tools and platforms
Experience in highly regulated or complex global industries
Singapore
Egalité des chances face à l'emploi
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