SF Data Lead

Job Description: • 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. Requirements: • 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.