The RBI on July 16, 2026 released draft guidelines proposing a comprehensive Data Governance Framework (DGF) for all regulated entities — including commercial banks, small finance banks, payments banks, cooperative banks, RRBs, NBFCs, AIFIs, ARCs, and credit information companies. The framework mandates board-level oversight, a dedicated Data Governance Committee, and a 'single source of truth' for each data element. Public comments are invited until August 17, 2026.

This proposal reflects a structural shift in how RBI is treating data — not merely as a compliance input, but as a critical organisational asset that must be governed with the same rigour as financial or operational risk. The timing is significant: as India's financial sector accelerates its digital transformation, the explosion in data volume, variety, and velocity has created governance gaps that regulators globally are rushing to address.

The framework's key pillars are governance architecture (who is responsible), data lifecycle management (how data is created, stored, used, and retired), data quality (accuracy, consistency), metadata and lineage (tracking data origins and transformations), and third-party data-sharing controls (especially relevant given the rise of fintech partnerships and API-based data exchange).

For RBI Grade B aspirants, this sits at the intersection of two tested domains: financial supervision and risk management. Weak data governance can distort stress test outcomes, inflate reported capital adequacy ratios, or mask NPAs — all of which have direct systemic consequences. The board-level Data Governance Committee (DGC) requirement mirrors the logic behind the board-level Risk Management Committee mandate under existing RBI norms. The 'single source of truth' principle directly addresses the perennial problem of data inconsistency across core banking systems, regulatory reports, and internal models — a known pain point in Indian banking.