You will own data governance, stewardship, and quality assurance processes across the data lifecycle.
Responsibilities
- Apply data governance policies, procedures, and standards, covering regulatory response and PII protection.
- Manage data identification, access, usage, and metadata according to data stewardship requirements.
- Investigate data errors, perform root cause analysis, and define data quality rules.
- Test data products through SIT, Regression Testing, and Metadata Testing, and facilitate User Acceptance Testing (UAT).
- Serve as a thought partner to resolve operational and service issues, ensuring data accuracy across business areas.
Required Skills
- Minimum of three years of related data management work experience.
- Fluency in SQL, PySpark, and Python.
- Experience with SIT, Regression Testing, and Metadata Testing.
- Familiarity with cloud environments.
- Strong analytical and problem-solving skills with a detail-oriented approach.
- Proficiency with MS Office Suite (Word, Excel, PowerPoint) and Visio.
- Ability to manage multiple priorities and maintain strong client focus.
- Experience applying risk-based critical thinking to governance goals.