SAP Data Migration Functional Consultant PP​/QM

SAP Data Migration Functional Consultant – Production Planning / Quality Management (PP/QM)

The SAP Data Migration Functional Consultant – Production Planning / Quality Management (PP/QM) is responsible for the end-to-end functional ownership of assigned SAP data migration objects supporting manufacturing, production planning, and quality management processes within a large global SAP S/4

HANA transformation program.
The consultant serves as the primary liaison between PP/QM 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 PP/QM data.
Primary Data Migration Objects
Typical PP/QM migration objects may include, depending on project scope:
Production Planning / Manufacturing
Bill of Material (BOM)
Routing
Master Recipe
Production Version
Work Center
Production Resource/Tool (PRT)
Production Supply Area
Kanban Control Cycle
Planned Independent Requirements
Open Production Orders
Open Process Orders
Other manufacturing master and open transactional data included in migration scope
Quality Management
Master Inspection Characteristics (MIC)
Inspection Methods
Sampling Procedures
Inspection Plans
Quality Info Records
Material Inspection Setup / QM-related material data
Quality Notifications / Open Quality Notifications
Other QM master and open transactional data included in 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 profiling of legacy manufacturing and quality data to understand source structures, relationships, volumes, completeness, usage patterns, and data quality.
Analyze data volumes by plant, material, BOM usage, routing/task list type, production version, inspection type, and other relevant organizational and functional dimensions.
Assess complex relationships among Material, BOM, Routing/Recipe, Production Version, Work Center, MIC, Inspection Plan, and related objects.
Identify duplicate, incomplete, inconsistent, obsolete, and invalid data.
Assess data quality and estimate the business effort required for cleansing and remediation.
Prepare profiling reports and communicate findings, risks, and recommendations to Data Migration and PP/QM leadership.
2. Data Relevancy Analysis
Collaborate with PP/QM Functional Teams, Business Data Owners, and cross-functional value streams to define migration relevancy rules.
Establish criteria for identifying Active versus Inactive manufacturing and quality master data.
Develop relevancy rules based on criteria such as active materials, plants, production activity, valid BOMs and routings, production versions, inspection requirements, open transactions, and future manufacturing requirements.
Account for object dependencies when defining relevancy; for example, relevant Production Versions may require corresponding Material, BOM, and Routing/Recipe data to be in scope.
Produce relevancy reports identifying records proposed for migration and exclusion.
Review relevancy results with Business Data Owners and obtain alignment on migration scope.
Maintain and refine relevancy rules throughout mock conversion cycles.
3. Data Mapping and Functional Design
Conduct Data Mapping Workshops with PP/QM…