Role & responsibilities

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
- Understanding of metadata/data lineage/finance related data domains
- Expert in Data quality dimensions/data governance principles
- Ability to defined data quality requirements/rules & analyse data quality issues
- Strong product knowledge across a variety of asset classes
- Robust communication skills (written and verbal)
- Project management and organisational skills including taking ownership for key data related initiatives as well as managing a variety of stakeholders across the firm
- Understanding of financial products

📌 Liquidity Data Management & Compliance - Consultant (Mumbai)
🏢 INNOVATIVE
📍 Mumbai