Implement & operationalize Data Management/Governance framework
- Analyse Liquidity reporting landscape/systems, identify & evaluate critical data attributes
- Prepare prioritization recommendations for the senior management, by applying a risk based approach considering impact and known data quality issues
- Analyse data sourcing, asses if it aligns with firms data management framework & highlight gaps to senior management for remediation/risk acceptance
- Support to define, document & maintain metadata/sensitivity classification & business definition of the critical data attributes
- Support mapping of critical data attributes to enterprise data model & work with CDO to enhance/modify data model as needed
- Collaborate with Finance IT teams to document data lineage & support business review of the lineage documentations
- Work with Liquidity reporting teams to define data quality requirements & rules for implementation by various data stewards at defined control points
- Work with Data stewards to track implementation of data quality rules at defined control points
- Collaborate with Liquidity reporting teams to define/document data quality issues/impact & provide prioritization recommendations to Senior Management. Follow up with data stewards for remediation and escalate to senior management as needed
- Collaborate with Liquidity reporting teams & data stewards to define Data Service Level Agreement (DSLA) requirements, assess the performance of the DSLAs and engage with data stewards to maintain their effectiveness
- Participate in the Data Steward forums to highlight data quality issues, DSLA gaps & facilitate discussions/escalations based on data quality MIs/KRI dashboards
- Participate/provide inputs for Finance functional data forums in relation to data management framework implementations status/gaps/risks
Preferred candidate profile
- Experience of working in/supporting Enterprise data management programs in BFSI sector
- Underst
📌 Liquidity Data Management (Mumbai)
🏢 INNOVATIVE
📍 Mumbai
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