数据产品经理（数据/Ai向）
Tasks
- Build Data Agent product capabilities
- Build KPI and metric system
- Build semantic network and metric semantic layer
- Collect data platform requirements and drive iterations
- Coordinate intent recognition and metric matching flows
- Create semantic assets for AI understanding
- Define business scenarios and requirements
- Define metric definitions and business rules
- Design data governance framework
- Design data modeling layers
- Develop offline and online data systems
- Diagnose analysis issues and improve user experience
- Ensure data accuracy for business metrics
- Evaluate and iterate product outcomes
- Handle permissions validation and data querying
- Improve data quality
- Integrate AI agent and knowledge base scenarios
- Maintain metrics and indicators
- Manage data domains and modeling standards
- Manage data requirements and demand
- Plan and design offline and real time data warehouse
- Support result explanation and chart visualization
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Agent Framework | Claude | ClickHouse | Data ETL | Data Governance | Data Modeling | Data Quality | Data Querying | Data Services | Data Visualization | Data Warehouse | Data integration | Hadoop | Intent Recognition | KPI Management | Knowledge Base | Low Code | Metric Matching | Metrics definition | OLAP | Permissions Management | RAG | Real Time | Real Time Data Warehouse | Real-time Data | Result Explanation | SQL | Semantic layer | Starrocks | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Product Manager | Data Product Manager | Manager | Product Manager
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