# Master Data Management Steward **Company**: GlaxoSmithKline **Location**: Bengaluru **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Healthcare **Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Senior-Manager--Master-Data-Management-Steward_450942?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_aa9dac6f-5da ## Description 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. **Key Responsibilities** **Master Data Governance Enablement** - Executes end-to-end data governance and maintenance activities across requests likes create, update, block, merge and retire. - Ensure master data requests are processed within the defined SLAs. - Validate data requests for completeness, consistency, accuracy and policy compliance. - Participates in Enterprise MDM governance and tactical forums and leads MDM working groups as needed to provide domain insight, support activities/issue prioritization, and ensure cross‑functional alignment. - Supports Data Owners/GPOs and Enterprise MDM Governance team in enforcing data standards, usage controls, and compliance requirements across the domain. - Collaborate with Tech teams to ensure data-related requirements, standards & ownerships are reflected in system design, enhancements, and integrations. - Escalates data risks, issues, and policy deviations through defined governance channels with clear business impact. - Maintain audit readiness and documentation standards. - Responsible to partner with both GSC and F&P CoE leads to provide advisory and ensure consistent management of non-enterprise data objects. **Data Governance and Compliance Support** - Supports the definition, implementation and enforcement of enterprise MDM data policies, standards and data models for the assigned master data domains. - Provides impact assessments, data analysis, and recommendations to support governance decisions, change requests, and prioritization. - Ensure compliance with defined business rules and governance control requirements. - Escalate governance violations or unresolved issues to MDM Lead/ Data Owners. - Ensures regulatory compliance, audit readiness and governance controls are consistently applied across the data lifecycle (create, change, use, retire). - Support periodic governance reviews and audits. **Data Catalogue & Metadata** - Maintains authoritative business metadata (e.g., definitions, ownership, critical data elements, lineage) in enterprise governance tools (e.g., Collibra). - 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 usage. **Master Data Quality Management** - Support 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. **Knowledge/ Education / Experience Required** **A. Educational Background** - Minimum Level of Education: Bachelor’s Degree (or equivalent). - Area of Specialization: Business Administration, Finance, Information / Data Management, or other relevant disciplines. **B. Job-Related Experience** - 10-15 years of experience in defining and implementing data governance best practices at enterprise level with data Stewardship, Data quality and data analysis. - Good to have demonstrated subject matter expertise in the assigned business domain (e.g., Customer, Supplier, Material, Finance). - Experience working within or alongside data governance frameworks, supporting Data Owners, GPOs, or similar roles. - Understanding data quality management concepts, including data profiling, monitoring, and issue management (from a governance/oversight perspective). - Familiarity with metadata management concepts and tools (e.g., business glossary, data dictionary, Collibra or similar). - Experience working in cross-functional, global environments with the ability to influence both business and technical stakeholders. - Business knowledge of ERP-enabled transformations. - Solid understanding of Data Governance, Data Management and Master Data Management. - Proven experience working with one or more enterprise master data domains (e.g., Material, Customer, Supplier, Finance). - Experience participating in or leading domain governance forums, working groups, or steering committees. **C. Other Job-Related Skills/Background** - 2-3 years of experience in Pharma, life sciences business/ data analyst role. - Demonstrated ability to lead, develop relationships, provide oversight and direction. - Experience or knowledge in Collibra is good to have. - Strong communication, facilitation, and influencing skills, with the ability to build alignment and support decision-making across diverse stakeholders. - Strong analytical and problem-solving skills, with the ability to assess issues, challenge inconsistencies, and drive pragmatic resolutions. - Familiarity with ERP and master data platforms (e.g., SAP, SAP MDG) at a functional and governance level. - Familiarity with regulated or controlled environments and awareness of data integrity and compliance expectations. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Business Case Development - Change Management - Design Thinking - Digital Fluency - Driving Continuous Improvement - Enterprise Thinking - Insight Generation - Stakeholder Management ### Nice to have - Collibra - SAP - SAP MDG --- Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Senior-Manager--Master-Data-Management-Steward_450942?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)