SAP Data Migration Functional Consultant Source

Position: SAP Data Migration Functional Consultant Source to Pay
Location: Mohali

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/4

HANA 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

Requisition s
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/4

HANA 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/4

HANA 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…