VP, Data Products (Enterprise Data Platforms & Discovery), Innovation Group
Central Region (City Area), Singapore
SGD 163K-240K (estimate) Executive-level Full Time
Tasks
- Coordinate cross-functional delivery teams
- Coordinate data service advisory and user training
- Curation and publication of datasets
- Define data product operating model
- Define data quality rules and contextual knowledge assets
- Define enterprise metadata standards
- Deliver data as a service capabilities
- Design self service data consumption channels
- Document data product lineage and quality dimensions
- Embed data governance and access controls
- Embed metadata lineage and quality signals into data products
- Enable reliable retrieval reasoning and reuse for AI systems
- Ensure data products security documentation and monitoring
- Establish repeatable delivery practices
- Lead enterprise data products delivery
- Maintain business glossary metadata and lineage
- Manage milestones dependencies risks and issues
- Operationalize data product applications
- Provide data product support for innovation use cases
- Shape prioritized data product use cases
- Support GenAI RAG and agent workflows with structured knowledge
- Translate governance and quality concepts into knowledge guidance
Perks/Benefits
- N/A
Skills/Tech-stack
API | Access Control | Agile delivery | Artificial Intelligence | As-a-Service | Cloud Data | Cloud Data Platforms | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Marketplace | Data Product Management | Data Quality | Data Risk | Data Warehouses | Data as a Service | Data discovery | Data platforms | Data product | Data risk management | GenAI | Machine Learning | Metadata Management | Product Management | RAG | Regulatory Reporting | Retrieval-Augmented Generation | Risk Management | Self-Service | Self-service analytics | Service Management | Service analytics
Education
N/A
Roles
Data Product Manager | Manager | Product Manager | VP | VP Data | VP Data Products
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