Noida, Uttar Pradesh, India
Information Technology
Full-Time
PepsiCo
Overview
Overview
Deliver data governance in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation, with a focus on the supplier (vendor) domain. This role will report to the PGT Supplier Steward Lead and focus on source (ERP) system governance.
Responsibilities
Deliver data governance in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation, with a focus on the supplier (vendor) domain. This role will report to the PGT Supplier Steward Lead and focus on source (ERP) system governance.
Responsibilities
- Drive supplier domain metadata mgmt. to enable understanding of data
- Contribute to Supplier master data mgmt. (MDM) implementation to create global harmonized supplier list and supplier hierarchy
- Refine supplier data standards to ensure consistency of global supplier master data
- Lead supplier domain data quality mgmt. to ensure data is fit for business use
- Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data.
- 3+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship.
- 3+ years of experience working with data in the Supplier domain, Procure to Pay process, involved systems and data usage.
- 3+ years of experience working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules.
- 3+ years of experience working with SAP S/4 HANA and SAP MDG
- Preferred experience in PepsiCo Global Template (PGT) and PIRT
- Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures
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