SAP SuccessFactors Data Lead

We are seeking a Success Factors 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 Success Factors 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

HR Data Strategy & Architecture:

• Define and own the enterprise HR data strategy across multiple Success Factors 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

Data Migration & Conversion:

• Lead end-to-end data migration planning and execution from legacy systems and manual tools into SAP Success Factors

• 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

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

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

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

Integration & Data Flows:

Define data integration requirements between Success Factors 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/Service Now data owners to ensure consistency between HR service management data and SF EC master data.

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

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 Success Factors

• 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 Success Factors

Functional & Technical Expertise:

Strong knowledge of:

• Strong functional understanding of the SAP Success Factors 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, Open Text, 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 Success Factors certification (Employee Central preferred).

• Experience with enterprise data governance tools and platforms

• Experience in highly regulated or complex global industries About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
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