Functional Consultant - Supplier

Job Description

Stakeholder Collaboration & Business Engagement Participate and engage in Data Quality implementation discussions with business and technical product owners in procurement. Participate in architecture discussions around the Data Quality framework. Collaborate with business users from procurement, P2P finance, supply chain etc to capture Business rules. Provide business requirements to BODS / LSMW team to enable data loads. Review and track exceptions for data quality rules and incorporate logic in the tool. Identify and investigate continuous improvement opportunities in the data standards, data quality rules, and data maintenance processes for each master data object by working with Business and other MDM Teams as required. Ensure to capture sign off from key stakeholders at critical stages of the project. Data Quality Rules & Standards Definition. Define and document data quality rules based on business requirements, functional specifications, and compliance needs. Derive technical definitions for agreed business rules / Data Quality rules to support tool development. Support Rule development in DQ tool. Review and validate rule output and inform business. Data Profiling, Cleansing & Monitoring Create and maintain data quality dashboards and reports to track improvements and errors. Review data profiling results for supplier master data and identify opportunities for data cleansing. Support the design and execution of the Data Quality Framework. Perform root cause analysis and recommend process changes and system controls. Perform pre-validation and post-validation as part of Data cleansing execution. Supplier/vendor Master Data Management (SAP) Manage and maintain supplier Master data in SAP where BODs cannot be used. Ensure data accuracy, consistency, and completeness across all supplier master records. Drive discussions on obsolete records identification and define the deactivation criteria. Data Migration, Integration & Tool Support Work closely with IT teams to support data migration, cleansing, and validation activities during SAP projects or enhancements. Perform process analysis and translate business issues and requirements into actionable plans to improve the Master Data Process from a tool and programming perspective. Recommend system and process enhancements to improve data quality and governance practices. Skills required 10+ years experience in SAP vendor Master objects along with knowledge on SAP T-codes and fields Hands-on experience in creating, maintaining, and validating supplier/vendor master data in SAP Good understanding of purchase order process, invoice process, payment process etc within P2P. Familiarity with industry-specific rules in procurement, P2P finance, various vendor types. Knowledge of supplier/vendor lifecycle processes (creation, change, extension, obsolescence, deletion) Strong skills in data quality rule definition, documentation, and enforcement Experience with data profiling, cleansing, and standardization techniques Ability to perform root cause analysis of data issues and recommend remediation Working knowledge of SAP BODS (BusinessObjects Data Services) for ETL, transformation, and data quality operations Ability to provide functional input for BODS developers - mapping rules, logic, validation Hands-on experience with SAP LSMW - recording, field mapping, conversion rules, batch input methods Understanding of data load processes and best practices for data migration in SAP Strong skills in data validation techniques - pre-load and post-load checks, reconciliation, exception reporting Ability to interpret and analyze SAP data using SE16N, SQVI, and custom reports Ability to document data standards, data definitions, and quality rules Technical skills in exploring, analysing, profiling, manipulating data sets through Excel, Power BI, SAP IS, Tableau etc Good understanding of Ariba, SAP ECC, SAP MDG.