Director, Data Automation
Tasks
- Define AI for data automation use cases
- Define enterprise data automation agenda
- Define non functional requirements and reference architectures
- Embed automated data quality validation
- Enable CI/CD for data with versioning testing deployment rollback
- Enable continuous assurance for automated pipelines
- Evaluate and select AI techniques and tooling for data automation
- Govern reusable automation patterns and components
- Implement data pipeline orchestration and workflow management
- Implement policy as code for privacy security and GxP
- Integrate automation with data platforms MDM catalog lineage and monitoring
- Lead automation marketplace catalogue
- Lead pilot design and transition to production
- Monitor automated processes with SLAs SLOs and alerting
- Oversee vendor and partner selection
- Run risk reviews and governance for automation
- Translate enterprise priorities into automation roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Catalog | Data Governance | Data Lineage | Data Quality | Data Validation | DataOps | Entity Resolution | Eventing | GxP | Human-in-the-loop | MDM | Machine Learning | Metadata Management | Monitoring and Alerting | Orchestration | Policy-as-Code | Privacy controls | RPA | Security controls | The Loop | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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