Data governance with Gen AI/AI
Location(s): Bengaluru, Karnataka, India
INR 2500K-4064K (estimate) Mid-level Full Time
Tasks
- Assess data quality for accuracy and completeness
- Author data quality rules and checks
- Build AI agents and autonomous workflows
- Build LLM-based applications
- Cleanse and correct data
- Collaborate with data stewards and IT
- Conduct root cause analysis
- Configure automated data quality alerts
- Define data quality rules
- Deploy scalable AI powered solutions
- Develop data quality dashboards and scorecards
- Develop remediation action plans
- Document validation logic
- Ensure policy compliance
- Implement multi-agent orchestration
- Maintain data catalog and dictionary
- Map data lineage
- Monitor data pipelines and ETL processes
- Perform data profiling
- Triage and resolve data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agentic AI | Audit framework | Automated alerting | Banking Domain | Banking Domain Knowledge | Cause analysis | Collibra | Control Metrics | Data Catalog | Data Governance | Data Lineage | Data Quality | Data Validation | Data profiling | Data quality dashboards | Data remediation | Domain Knowledge | ETL | Generative AI | LLM | Langchain | Langgraph | Machine Learning | Multi-Agent | Multi-agent orchestration | Prompt engineering | Python | Quality dashboards | Risk and Control | Risk and control metrics | Root Cause Analysis | Root cause | SAS | SQL | Tableau | Teradata
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