AVP - Data Governance

If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Synopsis of the role We are seeking a Data Governance Leader to drive data quality, regulatory compliance, and analytics governance across our core credit ecosystem. In this executive-facing role, you will oversee data pipelines, enforce Uniform Credit Reporting Formats, and manage Critical Data Elements across data ingestion lifecycle.

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Responsibilities

• Working closely with Senior Leadership, Board committees, and regulatory bodies to align data policies with regulatory frameworks.
• Additionally, you will lead root cause analysis and establish data trend reporting to mitigate risk.
• Join us to bridge complex technical architectures with business strategy and shape credit data governance.
• What you’ll do Data Quality & Analytics Governance (DQI/DSR): Enforce and maintain Uniform Credit Reporting Formats (UCRF -Forms 1, 2, and 3) across all data pipelines.
• Oversee end-to-end ingestion processing, ensure automated generation and distribution of Data Statistics Reports (DSR), and establish benchmarks for file-level, CI-level, and Industry-level Data Quality Indexes (DQIs).
• Critical Data Element (CDE) & Lineage Management: Own and continuously update the CDE Master Register covering key attributes such as Loan Status, DPD, Outstanding Balance, and Demographics.
• Design and enforce risk-based data lineage tracking from initial SFTP ingestion through to consumer credit reports (CIRs) and scoring models.
• Ensure strict compliance with statutory credit data retention policies (7- year and perpetual retention rules) and RBI guidelines.
• Work closely with legal and compliance teams to adapt internal governance policies to evolving regulatory standards.
• Monitor and optimize dispute resolution workflows to ensure adherence to the statutory 30-day resolution SLA.
• Collaborate directly with the Internal Ombudsman on complex or escalated dispute rejections to maintain fairness and accuracy.
• Root Cause Analysis (RCA) & Algorithm Tuning: Analyze quarterly delink logs and customer complaint dumps to conduct deep-dive RCAs.
• Identify and resolve algorithm defects, fine-tuning entity resolution match logic and adjusting match thresholds within DCtrl.
• Drive engagement with Credit Institutions (CIs) to resolve recurring submission errors, monitor compliance, and enforce data cleanup and resubmission schedules.
• Execute routine KYC anomaly audits focusing on key identifiers like PAN, Aadhaar, and Voter ID to ensure data integrity and prevent identity misclassification.
• Data Trend Analysis & Reporting: Extract, analyze, and publish data trends to deliver actionable insights to key stakeholders, serving as early warning indicators to mitigate potential risks.

Requirements

• Bachelor’s or master’s degree in data Analytics, Computer Science, Statistics, Finance, or related quantitative fields.
• 15+ years of relevant experience in Data Governance, Data Quality Management, or Business Intelligence within a Credit Bureau, Financial Institution, or Fintech.
• Deep expertise in Indian Credit Bureau standards (UCRF, CICRA, DPDP), entity resolution, cascading match algorithms, and data lineage mapping.
• Proficiency in SQL, SAS/Python, database architecture (Cassandra/Oracle), ETL frameworks (Talend GCP), and statistical sampling methods.
• Strong cross-functional leadership, executive presentation capabilities, and experience presenting governance outcomes to Senior Leadership teams and board committees.

Preferred

• What could set you apart Prior Experience in Data governance role with large Bank, NBFC or CIC #India We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Primary Location

IND-Mumbai-Equifax Credit Information Services Function: Function - Fulfillment / Operations Schedule: Full time