Source description
About the role
Data Quality
Own the end-to-end Data Quality program: SLAs, monitoring, testing, issue resolution and continuous improvement.
Drive requirements gathering with business and data teams to define and document technical and business data quality rules.
Build and maintain dbt-based Data Quality tests across the medallion architecture (Bronze / Silver / Gold layers).
Build DQ dashboards and lead root-cause analysis to improve trust in data.
Data Governance
Build and maintain the enterprise data catalog and business glossary, ensuring metadata, ownership, lineage, and business definitions remain accurate, documented, and discoverable.
Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
Enable trusted and reusable data foundations for analytics and AI use cases by improving discoverability, context, and governance of data assets.
Support governance and compliance practices for sensitive and regulated data.
Cross-Functional Leadership
Act as the bridge between Data and Business teams on definitions, ownership, trust, and governance decisions.
Facilitate workshops with domain owners to define business rules and data contracts.
Drive data discoverability and become the trusted point of contact for data meaning and reliability.
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