Summary:
Responsible for designing and managing the enterprise data architecture that supports banking operations, analytics, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with business strategy
Key Responsibilities:
Data Architecture Strategy
- Define and maintain the bank's enterprise data architecture roadmap.
- Align with business goals, regulatory requirements, and technology strategy.
Collaboration
- Collaborate with IT, data engineering, analytics, and business units to ensure cohesive data solutions.
- Act as a key advisor to senior leadership on data architecture decisions.
Data Modeling & Integration
- Design conceptual, logical, and physical data models for core banking systems, customer data, and financial products.
- Oversee integration of data across systems.
- Ensure consistency, reusability, and scalability of data models.
Governance, Security & Compliance
- Implement data governance frameworks including metadata management, data lineage, and master data management.
- Ensure compliance with banking regulations.
- Work with cybersecurity teams to enforce data security and privacy standards.
Innovation & Optimization
- Evaluate emerging technologies and tools to enhance data architecture.
- Promote automation, standardization, and best practices in data design.
- Optimize data storage, access, and performance across platforms.
Qualifications:
- Bachelor's or Master's in Computer Science, Information Systems, or related field.
- At least 8 years of experience in data architecture.
- Strong knowledge of banking systems, financial data structures, and regulatory frameworks.
- Expertise in data modeling tools, SQL, NoSQL, and cloud platforms (AWS/GCP/Azure).
- Excellent communication, leadership, and stakeholder management skills.