Sr Manager- Master Data Management Steward

GSK India; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

GSK India is seeking a Master Data Management Steward to drive governance across Finance and Procurement master data. You will ensure data accuracy, define standards, monitor quality, and support remediation efforts within the FP MDM CoE.

You will collaborate with Data Owners, GPOs, Ops, Tech, and FP MDM Lead to enforce data policies and ensure consistent data management across processes and reporting.

Qualifications

• Bachelor's degree (or equivalent) required.
• 10–15 years of enterprise data governance experience including data stewardship and data quality.
• Knowledge of metadata management concepts and Collibra or similar.
• Experience in cross-functional, global environments with business and technical stakeholders.
• ERP-enabled transformations knowledge is a plus.
• Solid understanding of Data Governance, Data Management and Master Data Management.
• Experience with one or more enterprise master data domains (e.g., Material, Customer, Finance).
• Familiarity with governance forums, working groups, or steering committees.

Responsibilities

• Execute end-to-end data governance and maintenance across requests (create, update, block, merge, retire).
• Ensure master data requests meet defined SLAs and are complete and compliant.
• Collaborate with Data Owners/GPOs and Governance teams to enforce standards and controls.
• Work with Tech teams to reflect data requirements in system design and integrations.
• Escalate data risks and policy deviations with business impact explanations.
• Maintain audit readiness and documentation standards.
• Partner with GSC and FP CoE leads for advisory on non-enterprise data objects.
• Support data quality management and governance decision making.

Skills

Business Case

Change Management

Design Thinking

Digital Fluency

Continuous Improvement

Enterprise Thinking

Insight Generation

Stakeholder Management

Education

Bachelor's Degree

Business/Finance/Data Management

Tools

Collibra

SAP

SAP MDG

Job description

Job Summary

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 (FP) is accurate, reliable, and fit for purpose across business processes and reporting.

The role is accountable for executing data governance within the FP 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 FP MDM CoE

Acting as the primary data governance contact for the FP domain, the MDM Data Steward works closely with Data Owners/ GPOs, Ops team, Tech, and the FP 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 FP 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

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 FP domain in alignment with FP 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.

Skills

• Business Case Development
• Change Management
• Design Thinking
• Digital Fluency
• Driving Continuous Improvement
• Enterprise Thinking
• Insight Generation
• Stakeholder Management

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