Senior Manager, Data Quality & Issue Management
Tasks
- Conduct root cause analysis for data issues
- Define data quality strategy and roadmap
- Design automated data quality rules and monitoring
- Develop data quality KPIs KRI dashboards and scorecards
- Embed quality checks into data pipelines
- Ensure regulatory compliance for data quality processes
- Establish data governance standards policies and controls
- Execute issue management operating model
- Implement data lineage and transparency practices
- Lead and develop data quality team and analysts
- Lead cross functional issue triage and remediation
- Manage Jira workflows and governance documentation
- Oversee enterprise issue lifecycle and closure
- Partner with data product owners to embed quality standards
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Apache Iceberg | Apache Kafka | Cause analysis | Collibra | Confluence | Credit reporting | Data Cataloging | Data Governance | Data Lineage | Data Monitoring | Data Observability | Data Pipeline Quality | Data Pipeline Quality Checks | Data Pipeline Testing | Data Quality | Data Stewardship | Data Streaming | Data Validation | Data pipeline | Data validation rules | Databricks | Fair Lending | Informatica CDGC | Informatica CDQ | Issue management | Jira | Metadata Management | Microservices | Model Context Protocol | Model Context Protocol MCP | Pipeline testing | Protocol MCP | Quality checks | REST APIs | Real Time | Real-Time Data Streaming | Real-time Data | Root Cause Analysis | Root cause | SQL | Snowflake | Validation Rules
Education
N/A
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