Data Management and Governance Consultant
4 weeks ago
About the Client
Our client is a digital bank in Singapore. It focuses on providing innovative financial solutions tailored for small and medium enterprises (SMEs).
Responsibilities
1. Digital Banking Data Governance & Security
• Develop and implement a digital-first data governance framework tailored to cloud-native banking.
• Ensure data integrity, privacy, and security across all digital banking operations.
• Establish automated data governance workflows to improve efficiency and accuracy.
• Define data access controls and classification models to enhance data security.
2. Data Quality & Risk Management
• Implement real-time data quality monitoring for fraud detection, credit risk assessment, and AML.
• Ensure high-quality customer, transaction, and financial data to support AI-driven decision-making.
• Establish automated anomaly detection models to flag suspicious activities.
• Define and monitor data lineage and impact analysis to improve traceability and accuracy.
3. Cloud-Native Data Management & API Integration
• Optimize ETL/ELT pipelines and real-time data streaming for digital banking operations.
• Support multi-cloud data integration (AWS, Azure, GCP) ensuring seamless cross-platform functionality.
• Ensure secure API-based data exchange across fintech partners and banking platforms.
• Implement metadata management, data cataloging, and automated governance controls.
4. AI-Driven Data Analytics & Insights
• Enable AI-powered insights for customer personalization, transaction monitoring, and credit scoring.
• Implement real-time data ingestion and processing to support AI/ML models for predictive analytics.
• Define data standards for AI/ML pipelines, ensuring compliance with ethical AI practices.
5. Execution & Stakeholder Collaboration
• Collaborate with IT, business, compliance, and risk teams to implement data-driven initiatives.
• Align data governance strategies with ANEXT's product roadmap and digital banking vision.
• Provide governance controls for Open Banking APIs, ensuring secure and compliant data sharing.
• Lead training and best practice sessions on data governance, security, and analytics.
6. Performance Monitoring & Reporting
• Develop real-time dashboards and governance scorecards for data quality monitoring.
• Automate regulatory and business intelligence reporting to improve transparency and compliance.
• Ensure audit-ready documentation with detailed data lineage tracking and governance policies.
Skills/Requirement
• Digital Banking & Cloud Expertise: Strong experience in cloud-based, API-driven banking environments.
• Data Governance & Quality Management: Experience in data governance frameworks, metadata management, and security best practices.
• Cloud & Big Data Technologies: Proficiency in AWS (Redshift, Glue, Lambda), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow).
• API & Open Banking Knowledge: Understanding of Open Banking API frameworks, security, and fintech integrations.
• AI & Machine Learning Exposure: Experience with AI/ML-driven data governance, real-time risk analytics, and fraud detection models.
• Stakeholder Management & Execution Skills: Ability to collaborate across IT, compliance, and digital product teams to execute governance initiatives.
Machine Learning
Business Intelligence
Data Sharing
Big Data
Quality Management
Pipelines
Data Management
Cloud Storage
Risk Management
Data Quality
Data Governance
Compliance
Fraud
Google Cloud
Banking
API
Stakeholder Management
Data Analytics
Hybrid Cloud
Amazon Cloud
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