SAP SuccessFactors Data Lead

We are seeking aSuccessFactors Data Leadto own and drive the end-to-end data strategy, architecture, and delivery across a complex, global enterprise operating acrossmultiple business clusters, legal entities, and joint ventures.

The role will lead all aspects ofdata design, migration, governance, and qualityacrossmultiple 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 theenterprise HR data strategyacross multiple SuccessFactors instances, legacy systems, and manual processes

• Design thetarget-state data architectureincluding data models, hierarchies, taxonomies, and master data standards

• Establish aharmonized global data frameworkwhile accommodating regional, legal entity, and joint venture variations

• Align data architecture to supportanalytics, reporting, and AI/GenAI readiness

2. Data Migration & Conversion

• Leadend-to-end data migration planning and executionfrom legacy systems and manual tools into SAP SuccessFactors

• Definemigration strategy, sequencing, and toolingacross multiple instances and clusters

• Establishdata mapping, transformation rules, and validation frameworks

• Managemultiple migration cyclesincluding mock runs, reconciliation, and cutover

3. Data Quality & Cleansing

• Design and implementdata quality frameworksincluding profiling, cleansing, deduplication, and enrichment

• Definedata quality KPIs and monitoring mechanismsto ensure ongoing data health

• Drivedata remediation activitieswith business stakeholders to resolve quality issues at source

• Ensure data quality standards meet the threshold required forGenAI and agentic framework adoption

4. Data Governance & Standards

• Establishdata governance policies, roles, and responsibilitiesacross global HR and IT teams

• Define and enforcedata ownership, stewardship, and accountability models

• Create and maintaindata dictionaries, business glossaries, and metadata standards

• Leaddata governance forumsand ensure compliance with organizational and regulatory requirements

5. Multi-Instance Data Harmonization

• Drivedata harmonizationacross 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 resolvedata conflicts, redundancies, and gapsacross 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

• Ensuredata consistency, traceability, and auditabilityacross all integration touchpoints

• Works in close partnership with the Integration & Reporting Lead ondata contracts- ownership of integration design sits with the Integration Lead,APIs and middleware design.

• Engagement with ITSM/ServiceNow data owners toensure consistency between HR service management data and SF EC master data.

7. Stakeholder Management & Team Leadership

• Partner withHR, IT, Total Rewards, Finance, and business stakeholdersacross regions and clusters

• Lead and mentor a team of data analysts, migration specialists, and data stewards

• Driveworkshops, data discovery sessions, and validation reviewswith business and technical teams

• Act as thesubject 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 withdeep expertise in HR data management within SAP SuccessFactors

• Proven experience as aData Lead or Senior Data Consultanton 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 ofGDPR, PDPA, and equivalent regulationsas they applyto HR data architecture, migration, and cross-border data flows. Experience defining data privacy controls within SF data models.

Experience with:

• Data migration toolingsuch 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 techniquesto ensure personal and sensitive employee dataareappropriately 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

RequiredQualifications

• SAP SuccessFactors certification (Employee Central preferred).

• Experience withenterprise data governance tools and platforms

• Experience inhighly regulated or complex global industries