Role & responsibilities

Location: Bengaluru

Function: Chief Data Office (CDO) - Risk & Finance

Reports To: Head of Risk & Finance DQ Steering

Role

Support the Risk & Finance Data Quality Steering function in driving data governance, data quality monitoring, regulatory data initiatives, and certification of trusted data sources across Risk and Finance domains.

Work closely with Data Owners, Business Teams, IT Teams, and Data Lineage teams to improve data quality controls, track remediation activities, and support regulatory and governance objectives.

Key Responsibilities

1. Data Governance & Data Quality

- Support implementation of Data Governance and Data Quality frameworks across Risk and Finance domains.
- Assist in defining and maintaining data quality standards, controls and governance processes.
- Contribute to initiatives aimed at improving data ownership, accountability, and data quality culture.
- Support governance forums and working groups through analysis and reporting.

1. Data Quality Monitoring & Reporting

- Monitor data quality metrics, KPIs, and control performance.
- Perform analysis of data quality issues, identify trends, and support root cause investigations.
- Track issue remediation plans and ensure timely closure of actions.
- Develop dashboards and management reports using Excel, Power BI, or other reporting tools.
- Provide regular updates to stakeholders on Data Quality performance.

1. Data Controls & Regulatory Data Management

- Assess effectiveness of Data Quality Controls and monitor control execution.
- Support reviews related to BCBS239, regulatory reporting, and data governance requirements.
- Assist in mapping controls to critical data elements and business requirements.
- Participate in control rationalization and improvement initiatives.

1. Data Certification & Authoritative Source Management





- Support identification and assessment of Master / Authoritative Data Sources.
- Assist in certification activities for critical data assets.
- Validate supporting evidence and document certification outcomes.
- Perform data consistency analysis across systems and source applications.

1. Stakeholder Engagement

- Work closely with Data Owners, Data Stewards, Business SMEs, IT teams, and Data Governance teams.
- Coordinate data quality reviews and follow-up actions with stakeholders.
- Facilitate discussions to resolve data quality and governance issues.
- Support preparation of management presentations and governance materials.

1. Data Lineage & Metadata Management

- Collaborate with Data Lineage teams to understand data flows and upstream/downstream dependencies.
- Assist in validating lineage information and data sourcing.

Key Interfaces

- Risk (RISQ) leadership teams
- Finance (DFIN) leadership teams
- GSCI data teams
- IT and data engineering teams
- Data lineage and governance teams

Success Measures

- Improved data quality metrics across RISQ and DFIN
- Reduced data issues and faster resolution times
- Adoption of certified and trusted data sources
- Strong engagement and satisfaction from data owners
- Effective implementation of data quality tools and processes

Preferred candidate profile Required Skills & Experience

- Strong experience in data management, data quality, or data governance
- Knowledge of Risk and/or Finance data domains
- Experience leading cross-functional and global teams
- Robust stakeholder management and communication skills
- Ability to define and implement data strategies and frameworks
- Familiarity with data lineage, data controls, and monitoring tools

Leadership Expectations

- Strategic thinking with execution focus
- Ability to influence senior stakeholders
- Strong collaboration across business and technology teams
- Focus on results, governance, and continuous improvement

📌 Consultant Expert - Chief Data Office ( Risk & Finance ) (Bengaluru)
🏢 Societe Generale Global Solution Centre
📍 Bengaluru