SAP Data Migration Functional Consultant Source to Pay

SAP Data Migration Functional Consultant – Source-to-Pay (STP)

Position Summary

The SAP Data Migration Functional Consultant – Source-to-Pay (STP) is responsible for the end-to-end functional ownership of assigned SAP data migration objects supporting procurement and supplier-related business processes within a large global SAP S/4HANA transformation program.

The consultant serves as the primary liaison between STP Business Process Teams, Business Data Owners, Data Construction SMEs, cross-functional value streams, and Data Migration Developers to ensure business requirements are translated into accurate migration designs, Functional Design Specifications (FDS), Field Mapping Documents (FMD), data cleansing strategies, relevancy rules, validation procedures, and successful production deployments.

The consultant is responsible for legacy data assessment and profiling, data relevancy analysis, data mapping, business data construction, migration testing, data validation, and cutover support for STP master and transactional data.

Primary Data Migration Objects

Typical STP migration objects may include, depending on project scope:

• Business Partner – Supplier
• Purchasing Info Records
• Source Lists
• Purchasing Contracts
• Scheduling Agreements
• Open Purchase Requisitions
• Open Purchase Orders
• Supplier-related pricing and purchasing data
• Other procurement master and open transactional data included in the approved migration scope

The exact migration object scope will be based on the SAP S/4HANA solution design and approved project migration inventory.

Key Responsibilities

1. Legacy Data Assessment and Profiling

• Perform detailed analysis and profiling of legacy procurement and supplier data to understand source structures, relationships, data volumes, completeness, usage patterns, and overall data quality.
• Analyze legacy data volumes by relevant organizational dimensions such as company code, purchasing organization, purchasing group, plant, supplier, material, document type, and other applicable attributes.
• Identify duplicate, incomplete, inconsistent, obsolete, and invalid records and other data quality issues that could affect migration.
• Estimate data cleansing and remediation effort based on profiling results.
• Prepare data assessment reports and communicate findings, risks, and recommendations to Data Migration and STP leadership.

2. Data Relevancy Analysis

• Collaborate with STP Functional Teams, Business Data Owners, and cross-functional process teams to define business-driven data relevancy rules.
• Define criteria for determining Active versus Inactive suppliers, purchasing master data, and open procurement transactions.
• Develop object-specific relevancy rules using criteria such as recent purchasing activity, open transactions, supplier status, organizational assignments, future sourcing requirements, and legal or regulatory requirements.
• Analyze cross-functional dependencies when determining migration relevancy.
• Produce relevancy reports identifying records proposed for migration and exclusion.
• Review relevancy results with Business Data Owners and obtain alignment on the migration population.
• Maintain and refine relevancy rules throughout mock conversion cycles.

3. Data Mapping and Functional Design

• Conduct Data Mapping Workshops with STP Functional Teams, Business Data Owners, Business SMEs, and other stakeholders.
• Analyze legacy source structures and SAP S/4HANA target requirements.
• Develop and maintain Data Migration Functional Design Specifications (FDS).
• Develop and maintain Field Mapping Documents (FMD) defining:
• Source-to-target mappings
• Transformation rules
• Default values and derivations
• Value conversions
• Cross-reference (XREF) requirements
• Organizational mappings
• Data cleansing requirements
• Data validation rules
• Identify dependencies on Material Master, Finance, Inventory, Manufacturing, Quality Management, and other value streams.
• Keep FDS and FMD documentation current throughout the migration lifecycle.

4. Business Data Construction and Enablement

• Identify and support Business Data Construction SMEs for assigned migration objects.
• Onboard and train business users on their data migration responsibilities, including:
• Data construction
• Data cleansing
• XREF file preparation
• Relevancy validation
• Pre-load validation
• Post-load validation and reconciliation