Data Management: Design, develop, and maintain the data infrastructure that supports the Finance systems, ensuring data accuracy, integrity, and availability.
Data Modeling: Apply data modeling techniques to design efficient and scalable data structures that support the Finance systems' reporting and analysis requirements.
ETL Development: Utilize ETL tools like Informatica or extract, transform, and load data from various sources into the Finance systems, ensuring smooth and accurate data flow.
Finance System Management: Collaborate with Finance stakeholders to understand their data requirements and ensure that the data infrastructure meets their needs for financial consolidation, regulatory reporting, cost allocation, and profitability reporting.
Communication and Stakeholder Management: Strong communication skills to interact with various stakeholders, including senior management, technical teams, and business users.
Data Mapping: Perform data mapping exercises to align data from diverse sources to the standardized OFSAA data model, ensuring data consistency and accuracy.
Data Quality and Governance: Implement data quality and governance processes to maintain high data quality standards across the Finance systems.
Performance Optimization: Identify and implement performance optimization techniques to ensure efficient data processing and reporting within the Finance systems.
Integration: Collaborate with IT teams and external vendors to integrate new data sources and applications with the Finance systems.
Regulatory Compliance: Thorough understanding of regulatory reporting requirements and compliance standards in the banking industry.
Agile Delivery: Works as part of cross functional Agile squads, contributing to sprint planning, refinement, and iterative delivery of data pipelines and finance systems enhancements.