Sr. Manager Data Governance

Job Summary

Lead enterprise data governance, establishing data policies, stewardship frameworks, and master data Golden Record standards, and enforcing data compliance, access controls, and data lineage across the Group's GCP and SAP data architectures.

Responsibilities

• Establish and maintain enterprise data policies, standards, and data stewardship frameworks across the Group.
• Define and enforce master data Golden Record standards and master data management (MDM) practices across GCP and SAP architectures (SAP MDM), including reference data and the business glossary.
• Enforce data compliance and privacy (PDPL, GDPR), including access controls, role-based access (Looker RBAC), and security classification.
• Own data cataloging and data lineage using UpGuard, ensuring end-to-end traceability across data platforms.
• Establish data quality governance standards, defining quality dimensions (freshness, completeness, validity, schema drift), quality SLAs, and scorecards, with oversight of automated and AI-assisted data quality monitoring.
• Define onboarding playbooks for new data sources, data products, and BI assets, with clear ownership, certification, and quality gates.
• Set governance standards for data documentation (dbt Cloud Docs) and metadata across Google BigQuery and the wider data estate.
• Partner with business, IT, and security teams to operationalize data governance, drive adoption, and report on compliance, quality coverage, and adoption metrics to leadership.
• Mentor and guide data governance and quality practitioners, growing governance capability across the function.

What you\'ll need to succeed

• Minimum 7 years of experience in data governance, data management, or enterprise data quality, including leading governance initiatives.
• Deep expertise in data governance frameworks, data stewardship, business glossary, reference data, and master data management (Golden Record standards, SAP MDM).
• Strong knowledge of data compliance and privacy regulations (PDPL, GDPR), access controls, security classification, and data lineage.
• Experience defining data quality dimensions, quality SLAs, scorecards, and stewardship and onboarding playbooks.
• Hands-on experience with data cataloging and lineage tooling (UpGuard), Looker RBAC, and documentation (dbt Cloud Docs).
• Proficiency in SQL and Google BigQuery, with experience governing data across GCP and SAP architectures.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.