Director- Enterprise Data and Analytics

Key Responsibilities

Data Quality, Controls & Remediation

• Lead data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting.
• Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management.
• Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders.
• Drive continuous improvements aligned with enterprise data governance policies and regulatory expectations.

Finance & Regulatory Reporting Enablement

• Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs).
• Ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams.
• Collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements.

Data Governance & Standards

• Implement and operationalize enterprise data governance policies, standards, and controls across critical data domains.
• Partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards.
• Drive adoption of governance frameworks and champion data stewardship across Finance and Regulatory Reporting.

Stakeholder Engagement & Relationship Management

• Build and sustain strong working relationships with leaders across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations.
• Ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels.
• Represent Bengaluru Enterprise Data in cross-functional forums and working groups.

Team Leadership & Growth

• Lead and mentor a small team of 5 Enterprise Data & Analytics professionals.
• Develop talent, foster collaboration, and promote a culture of accountability and continuous improvement.
• Play a key role in scaling the Enterprise Data & Analytics presence in Bengaluru over time.

Strategic Data Migration & Modernization

• Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams.
• Ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience.
• Drive adoption of modern data tools and capabilities across enterprise teams.

Qualification & Requirements

Required

• Overall atleast 18+ with 10+ years of experience in data management, data quality, data remediation, or data governance, preferably within banking or financial services.
• Prior banking experience in large financial institutions and experience supporting regulatory reporting functions is strongly preferred.
• Strong understanding of Finance and Regulatory Reporting data needs.
• Experience working with enterprise data quality tools, frameworks, and control processes.
• Proven ability to collaborate effectively with global teams across Finance, Regulatory Reporting, Technology, and Governance.
• Demonstrated experience identifying data issues, driving root cause analysis, and leading remediation initiatives.
• Experience managing teams and developing talent.

Preferred

• Bachelor’s or master’s degree in engineering, Data, Engineering, Finance, Computer Science, or related field.
• Experience with cloud data platforms (Snowflake, AWS, Azure).
• Exposure to data lineage tools, metadata management platforms, and data quality monitoring solutions.

Benefits

No information available.