Role Purpose

The Data Quality Senior Lead is responsible for establishing, governing, and continuously improving the enterprise-wide Data Quality Framework to ensure data is accurate, complete, consistent, timely, valid, and fit for business, regulatory, risk, financial reporting, and AI use cases.

The role leads the implementation and continuous improvement of enterprise Data Quality standards, controls, monitoring, issue management, and reporting across critical data domains.

Critical Data Elements (CDE) Management

- Lead identification, prioritization, and governance of Critical Data Elements (CDEs).
- Define and approve Data Quality rules and controls for critical business data.
- Ensure business ownership and stewardship accountability is established for all prioritized CDEs.
- Collaborate with business and technical stakeholders to maintain metadata, business glossary, and lineage for critical data assets.

Data Quality Monitoring & Reporting
- Establish enterprise-wide Data Quality monitoring and reporting mechanisms.
- Define Data Quality KPIs, thresholds, and dashboards.
- Monitor Data Quality trends, recurring issues, and critical data defects.
- Provide regular Data Quality reporting to senior management and governance forums.

Audit, Risk & Compliance
- Support internal audits, regulatory reviews, and management assurance activities.
- Provide evidence and reporting for Data Quality compliance assessments.
- Partner with Risk and Compliance teams to address data-related findings and control gaps.




- Drive remediation of audit observations related to Data Management and Data Quality.

Stakeholder Management
- Act as the central point of coordination between Data Owners, Data Stewards, Technology, Analytics, Risk, Finance, and Compliance teams.
- Drive collaboration and accountability across business and technology stakeholders.
- Facilitate Data Quality governance forums and working groups.

Experience & Qualifications
- 5+ years in a leadership role managing enterprise-scale Data Quality programs.
- Robust experience within financial services, banking, insurance, or highly regulated industries.
- Demonstrated experience leading cross-functional initiatives involving Business, Technology, Compliance, and Risk stakeholders.

Technical & Functional Competencies

Data Management

- Enterprise Data Governance
- Data Quality Management
- Metadata Management
- Data Lineage
- Master Data Management (MDM)
- Data Catalog

Data Quality Tools

- Informatica
- Collibra
- Ataccama
- IBM
- Talend
- Other Data Quality tools

Reporting & Visualization

- Power BI
- Tableau

Governance & Regulatory

- BCBS 239
- Data Management Frameworks
- Information Security Principles
- Audit & Control Frameworks
- Regulatory Reporting Data Controls

Key Success Measures (KPIs)
- Improvement in Enterprise Data Quality Index.
- Reduction in critical data defects and recurring issues.
- Percentage of Critical Data Elements monitored.
- Percentage of Data Quality rules automated.
- Data Quality issue remediation and closure rates.

Key Competencies
- Change Leadership
- Results Orientation

📌 Data Quality Lead (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru