Director, Customer Success Data Engineering
Tasks
- Build analytics reporting and AI ready pipelines
- Collaborate on data lineage and governance standards
- Define AI & Data strategy
- Document AI accessible data model
- Ensure data accuracy accessibility and trust
- Implement pipeline testing monitoring and alerting
- Integrate contact center platform data
- Lead mentor data and analytics engineering team
- Maintain KPI dictionary and data lineage map
- Redesign unified customer success data model
- Set data delivery SLAs and quality monitoring
- Translate business KPIs into data architecture decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Data | AI data access | AI strategy | Airflow | Anomaly Detection | BI dashboarding | DBT | Data Architecture | Data Freshness Monitoring | Data Governance | Data Lineage | Data Modeling | Data Quality | Data access | Data freshness | Data pipeline | Data quality monitoring | ETL | Freshness Monitoring | KPI Dictionary | Kafka | Kinesis | Orchestration | Quality monitoring | Schema Validation | Semantic layer | Snowflake
Education
N/A
Regions
Countries
States
Cities
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