Senior Manager, Customer Success Data and Analytics Engineering
Tasks
- Build documentation layer for ai access
- Define AI & Data strategy
- Design analytics and ai ml pipelines
- Diagnose data quality and architecture issues
- Establish data sla and quality monitoring processes
- Establish data testing monitoring alerting
- Lead data integration for contact center migration
- Maintain shared kpi dictionary and data lineage
- Manage and mentor data engineers
- Own customer success data model
- Partner on kpi definitions and data governance
- Redesign data architecture from scratch
- Translate business problems into data model decisions
Perks/Benefits
Skills/Tech-stack
AI Data | AI data strategy | Airflow | Alerting | Analytics engineering | Anomaly Detection | DBT | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data integration | Data strategy | Kafka | Kinesis | Monitoring | Semantic layer | Snowflake | Testing
Education
N/A
Regions
Countries
States
Cities
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