Data Quality Management Lead
Tasks
- Benchmark and improve data quality maturity
- Create data quality dashboards and KPIs
- Define data profiling and validation standards
- Design and implement data quality framework
- Develop automated data quality rules
- Enable data stewards and domain forums
- Escalate data quality risks through governance
- Establish data quality standards and controls
- Identify automation opportunities for monitoring and remediation
- Integrate data quality controls with data pipelines
- Manage issue workflows with SLAs
- Monitor data quality and flag issues
- Plan UAT and certification before go live
- Present trends and risk exposures to leadership
Perks/Benefits
- Deloitte Days
- Flexible benefits spending account
- Flexible work arrangements
- Hybrid work structure
- Learning days
- Mental health support benefits
- Paid vacation
Skills/Tech-stack
Anomaly Detection | Ataccama | Automated Issue Remediation | Azure | Cloud Platforms | Collibra | Data Architecture | Data Classification | Data Governance | Data Lakes | Data Lineage | Data Management | Data Pipelines | Data Quality | Data Validation | Data profiling | Databricks | ETL | GitHub Copilot | ISO 8000 | Informatica | Issue Remediation | LLMs | MDM | Machine Learning | Python | SQL | Talend | UAT
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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