Job Purpose

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
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• undefinedData Catalogue & MetadataMaintains 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 usageundefinedMaster Data Quality ManagementSupport 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 

1. 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.

#LI-GSK

Skills

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

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Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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