Data Governance Business Analyst

Job Description

x1 Resource required for at least 8 months duration to support on phase 2 Data Management Strategy Implementation Porject, Data Literacy Project, GIA observation project 1 with minimum 3-5 years of experience and 1 with more than 5 years of exp in Data Governance and Finance services Real-life practical experience on Data Governance Process Implementation specifically for data ownership Extensive experience in DG and DQ operationalization 1. To support on business engagements for data ownership and stewardship identification with banking domain knowledge and develop end to end domain mapping, structure and CDE tagging to domains: with agree and get all sign-offs from business To support engagement between business and IT on domain structrure and system mapping to understand the data owned, consumed and managed within particular business areas To support team in DQ dashboard validation for DQ rules , metadata definition and business validation To support on closure of critical GIA points including regulatory self-assessment, data risk taxonomy and SOP development Supporting, running and operationalizing the WG Forums Supporting other BAU, Data Literacy, DG activiities and project management Identify and resolve data gaps, inconsistencies, and lineage issues across compliance datasets. Maintain metadata repositories and document lineage for sanctions-related data. Validate existing Data Quality (DQ) rules and formalize them in alignment with the Target Operating Model (TOM). Support the identification and formalization of Critical Data Elements (CDEs). Coordinate with compliance, risk, IT, and business teams to ensure governance alignment. Collect reference data from each system, validate it, and propose a standardized list for rationalization. Manage Data Governance (DG) tasks within the CBUAE#17 project timeline. Apply SQL scripting and analysis, PBI skills to support technical validation, reporting and to support assurance framework Provide end-to-end support for compliance and DG&DQ dashboard validation, including technical engagement with respective teams.