Partner with business and technology to identify data flows and golden sources
Identify gaps in data flow of manual processes and controls.
Implement with GBSU independent data quality controls (ID-Q) to inform data quality scoring
Partner with technology to implement improved lineage and quality of critical data elements and perform annual re-certification of metadata and data lineage
Facilitate the collection of data quality problems from RISK teams (problems detected in production or in ongoing projects) analyze them, estimate the financial or any other issues in relation to the operations and define the entities in charge of the remediation.
Conduct data quality remediation in project mode if it is the responsibility of RISQ/DTO
Collaboration with technology, operations, and other transversal functions to produce required dashboards, metrics, KPIs
Participate/contribute in discussions on relevant data quality indicators,designing of new DQ dashboard and their analysis in RUN mode, new functionalities in IT tools and the positioning of automatic/manual controls that will allow to calculate these indicators
Contribute to change management actions for RISK users related to data quality
Contribute to the facilitation of Data Quality governance within RISQ
Data modeling and implementing reporting best practices
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