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Senior, niche data-testing role with Moody's brand reduces applicant density.
High because role requires deep enterprise data QA, ETL/Databricks, and analytics-specific governance experience.
High due to 10+ years requirement and mandatory enterprise data QA, governance, and testing framework experience.
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Lead the development and governance of an enterprise-wide testing framework for data, reporting, analytics, and AI solutions.
Define and maintain testing standards, release readiness criteria, and quality metrics to ensure consistent, high-quality project and BAU delivery.
Drive adoption of automated testing across data pipelines and analytical products; provide oversight and actionable insights on release quality and operational readiness.
10+ years experience in Quality Assurance, Quality Engineering, Data Validation, Release Management, or Testing within data, analytics, reporting, or enterprise data environments.
Bachelor’s degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field or equivalent practical experience.
Strong expertise in software testing methodologies and modern data platforms (e.g., Databricks).
Experience with analytics/reporting tools like Power BI; knowledge of Salesforce or similar CRM advantageous but not mandatory.
Experienced leader in defining/testing enterprise-wide quality standards and governance in data and analytics environments.
Skilled at influencing cross-functional teams to embed a culture of quality and continuous improvement.
Capable of driving automation and process improvements in agile, modern data platform contexts.