Senior Data Governance - AI Driven Metadata Management
Tasks
- Align metadata initiatives with data quality governance lineage and compliance
- Analyze large datasets for insights
- Define AI enabled metadata management product roadmap
- Define functional specifications for metadata platforms
- Define metadata capture and enrichment standards
- Define metadata quality KPIs and dashboards
- Design AI prompts for metadata management
- Document methodologies and provide training
- Ensure metadata practices support regulatory obligations
- Facilitate regulatory requirement workshops
- Improve AI model quality and efficiency
- Integrate AI solutions into banking operations
- Monitor market trends and advise on AI enabled metadata vendors and innovations
- Promote adoption of metadata governance practices
- Serve as metadata management point of contact
- Validate AI models for regulatory and audit use cases
Perks/Benefits
- Client facing growth opportunities
- Flat, non-hierarchical structure
- Inclusive work culture
- Ongoing learning opportunities
Skills/Tech-stack
AML | Agile | Artificial Intelligence | Business glossary | Dashboards | Data Analysis | Data Catalog | Data Compliance | Data Governance | Data Lineage | Data Quality | GDPR | KPIs | Machine Learning | Metadata Management | Product Management | Prompt engineering | Regulatory Compliance | Scrum
Education
N/A
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