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GSK in Bengaluru seeks a Master Data Management Steward to drive governance for Finance & Procurement master data objects, ensuring accuracy, policy compliance, and adherence to SLAs. You will partner with Data Owners, GPOs, Ops, Tech and the MDM Lead to enable data quality and governance across processes and reporting.
In this advisory-focused role, you will define data standards, monitor quality, escalate risks, maintain audit readiness, and support continuous improvement without performing
Master Data Management Steward is a business-aligned, execution-focused role operating within the Finance and Procurement MDM CoE, responsible for ensuring the master data objects (MDOs) pertaining to Finance and Procurement (F&P) is accurate, reliable, and fit for purpose across business processes and reporting.
The role is accountable for executing data governance within the F&P domain, including defining and monitoring data standards, policies & data quality rules, identifying and assessing data issues, and driving remediations. Also plays a critical role in executing governance processes, monitoring data quality, resolving data issues and supporting continuous improvement initiatives within the F&P MDM CoE
Acting as the primary data governance contact for the F&P domain, the MDM Data Steward works closely with Data Owners/ GPOs, Ops team, Tech, and the F&P MDM Lead to ensure consistent application of data policies, standards, and compliance requirements. The role focuses on governance oversight and quality improvement, without directly performing operational data maintenance.
Owning Data Catalogue, Metadata and Data definition workflows in the data governance tool and ensuring the datasets are being reviewed periodically and fit for business usageundefined
the definition and documentation of data quality rules, thresholds, and KPIs for the F&P domain in alignment with F&P MDM Lead and Data Owners/GPOs. Continuously monitors data quality performance through data profiling, analytics dashboards, and exception reporting. Identifies and assesses data quality issues, ensuring root cause analysis is performed and remediation actions are defined and tracked. Oversees data quality remediation activities, ensuring resolution is effective, sustainable, and aligned with enterprise standards (without directly performing operational fixes). Reports on data quality performance, risks, and trends to stakeholders. Provide training and promote data literacy, consistency, and adherence to data governance practices across the business.
Area of Specialization Business Administration, Finance, Information / Data Management, or other relevant disciplines.
Familiarity with