About the role

Job Description (JD)

Role: Risk and Finance Data Quality Steering

Location: Bengaluru, India
Function: Chief Data Office (CDO) – Risk & Finance
Reports to:

Head of Risk and Finance DQ steering in BGL

Role Purpose

Assist in the global strategy for improving data quality across Risk (RISQ) and Finance (DFIN)
Establish strong monitoring, reporting and governance of critical data
Ensure consistent, trusted and certified data sources across the organization
Support data owners in strengthening data quality practices

Key Responsibilities

1. Data Quality Strategy & Governance

Help define and drive the global data quality strategy for RISQ and DFIN
Establish data quality standards, frameworks and governance practices
Ensure alignment across Risk and Finance functions

2. Data Quality Monitoring & Reporting

Design and implement tools to track and report data quality
Set up processes for issue tracking, escalation and resolution
Provide regular insights on data quality performance to leadership

3. Support to Data Owners

Work closely with RISQ and DFIN data owners
Help identify and close gaps in existing data quality processes
Promote accountability and ownership of data quality

4. Data Source Certification

Identify and define “master” and “authorized” data sources
Lead the certification process for critical data assets
Ensure consistency and convergence across systems and teams

5. Collaboration & Stakeholder Management

Partner with:
- Data Lineage teams
- Process teams
- IT teams
Drive cross-functional alignment on data standards and usage

6. Team Leadership

Lead GSCI DFIN/DMO and RISQ data teams
Build strong capabilities in data quality management
Ensure effective delivery across teams

7. DM Tools Strategy (Risk & Finance)

Define and drive the Data Management (DM) tools strategy for Risk and Finance, ensuring alignment with business needs and data quality objectives.
Partner with the CFT team to design, implement, and scale tooling solutions that strengthen data governance, monitoring, and operational efficiency.

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

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
Strong 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