Enterprise data & analytics leader with a proven record of designing data strategies, building modern analytics platforms, and delivering advanced insights that improve decision-making, operational efficiency and growth.
Specializing in data remediation, controls and quality uplift. Build scalable governance frameworks, implement automated controls, remediate legacy issues and drive continuous improvements that reduce risk and deliver clean, trusted and business-ready data. Partner with technology and business stakeholders to mature data practices, strengthen regulatory readiness and create a sustainable data-quality culture.
Job Details
Position Title: Director - Enterprise Data & Analytics
Career Level: L4
Job Category
Reports To: Senior Director / Enterprise Data Leadership
Shift Timing- pm IST to pm IST
Overview:
The Director - Enterprise Data & Analytics will serve as a key leader, responsible for driving data remediation, data quality, and control initiatives that support Finance and Regulatory Reporting across the bank. This leader will manage a growing team and play a critical role in strengthening enterprise-wide data governance, improving data quality, and enabling trusted data for high-impact business and regulatory outcomes.
This role requires a strong mix of data expertise, relationship-building, operational rigor, and the ability to partner across global teams. The Director will work closely with Finance, Regulatory Reporting, Data Governance, Technology, Architecture, and Operations to identify data challenges, prioritize remediation initiatives, and advance the bank s data maturity
Responsibilities:
Data Quality, Controls & Remediation
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Lead data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting.
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Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management.
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Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders.
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Drive continuous improvements aligned with enterprise data governance policies and regulatory expectations.
Finance & Regulatory Reporting Enablement
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Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs).
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Ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams.
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Collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements.
Data Governance & Standards
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Implement and operationalize enterprise data governance policies, standards, and controls across critical data domains.
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Partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards.
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Drive adoption of governance frameworks and champion data stewardship across Finance and Regulatory Reporting.
Stakeholder Engagement & Relationship Management
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Build and sustain strong working relationships with leaders across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations.
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Ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels.
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Represent Bengaluru Enterprise Data in cross-functional forums and working groups.
Team Leadership & Growth
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Lead and mentor a small team of 5 Enterprise Data & Analytics professionals.
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Develop talent, foster collaboration, and promote a culture of accountability and continuous improvement.
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Play a key role in scaling the Enterprise Data & Analytics presence in Bengaluru over time.
Strategic Data Migration & Modernization
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Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams.
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Ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience.
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Drive adoption of modern data tools and capabilities across enterprise teams.
Qualifications
Required:
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Overall atleast 18+ with 10+ years of experience in data management, data quality, data remediation, or data governance, preferably within banking or financial services.
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Prior banking experience in large financial institutions and experience supporting regulatory reporting functions is strongly preferred.
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Strong understanding of Finance and Regulatory Reporting data needs.
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Experience working with enterprise data quality tools, frameworks, and control processes.
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Proven ability to collaborate effectively with global teams across Finance, Regulatory Reporting, Technology, and Governance.
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Demonstrated experience identifying data issues, driving root cause analysis, and leading remediation initiatives.
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Experience managing teams and developing talent.
Preferred:
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Bachelor s or master s degree in engineering, Data, Engineering, Finance, Computer Science, or related field.
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Experience with cloud data platforms (Snowflake, AWS, Azure).
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Exposure to data lineage tools, metadata management platforms, and data quality monitoring solutions.
