Implementation & Rollout: Support development, drive effective implementation and enforcement of Data Governance framework, policies.
Process Management: Manage the operational processes for Data Quality issue management lifecycle.
Forum Facilitation: Facilitate and organize Data Governance forums and cross-functional working groups to resolve issues, review data quality metrics, and drive adoption.
Training & Support: Develop training materials and provide guidance Data Stewards, Data Custodians across the region.
Data Model & Architecture Stewardship:
Model Custodianship: Act as a primary custodian of the Enterprise Data Model, ensuring that all changes are documented, standards are adhered to, and the model remains the single source of truth for data structures.
Standards Enforcement: Work closely with Data Architects and engineering teams to conduct reviews, ensuring the logical and physical data models are aligned.
Metadata Curation: Oversee the process of defining critical data elements, metadata, data catalog and business glossary.
Data Analysis & Mapping Process Management:
Process Oversight: Manage the end-to-end process for creating, reviewing, and approving Source-to-Target Mapping (STM) documents. Ensure the process is efficient and timelines are met.
Quality Gatekeeper: Act as a critical review point for all data mappings, performing quality checks for completeness, clarity, and adherence to standards before they are passed to the engineering teams.
Liaison & Coordination: Act as a key liaison between the Data Analysts, business SMEs to automate reporting requirements, data analytics eliminating data copies.
Requirements
Required:
Bachelor's degree in a relevant field (e.g., Information Management, Business, Finance, Technology).
10+ years of experience in the data management field within the Banking and Financial Services industry.
Significant hands-on experience in implementing and managing processes within at least two of the following areas: Data Governance, Data Modelling, or Data Analysis & Mapping.
Strong understanding of banking data domains (e.g., Wholesale Banking, Treasury, Risk Management) and their associated data challenges.
Desired/Preferred:
Direct experience participating in a large-scale data migration or business transformation project.
Experience working with data governance and cataloging tools (e.g., Collibra, Alation, Azure Purview).
Good understanding of modern data architectures (Data Lakehouse, Medallion Architecture) and platforms (Databricks, Azure).
