Senior AI Data Product Owner
Tasks
- Approve data readiness gates
- Create versioned reproducible datasets
- Define AI data quality standards
- Define data product charters
- Deliver quality and cost scorecards
- Develop operational runbooks for recovery and incidents
- Drive root cause analysis and corrective actions
- Escalate data risk and ownership issues
- Establish data access standards
- Implement automated quality controls
- Implement classification and audit trails
- Lead data ingestion and curation pipelines
- Optimize storage and compute utilization
- Own AI/data product roadmap
- Transform dashboards into governed data products
- Translate business priorities into sequenced backlog
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Cost Optimization | Data Access Control | Data Contracts | Data Curation | Data Drift | Data Engineering | Data Governance | Data Ingestion | Data Ingestion Pipelines | Data Lineage | Data Monitoring | Data Pipelines | Data Quality | Data Readiness Gates | Data Versioning | Data access | Data handling | Data handling controls | Data readiness | Databricks | Delta Lake | Feature Tables | Ingestion pipelines | Observability | Partitioning | Readiness Gates | Scheduling | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Data Product Owner | Data Product Owner | Product Owner
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