Design of a Data Governance framework

Client Needs & Objectives

In a context of multiple regulatory developments (BCBS239, FED regulatory reporting, GDPR…), a Tier 1 Bank needed assistance in implementing its Data Governance framework.

The objectives were fivefold:

  • Design DG Target Operating Model and associated roadmap
  • Establish Program foundations
  • Identify DG stakeholders and initiate engagement
  • Implement DG framework over the normal course of business
  • Scale across additional data domains

Our Approach

  • Assess the current state and develop goals and guiding principles
  • Define TOM and DG mandates
  • Build a 18-month roadmap
  • Establish and staff Data Governance office
  • Propose Data Domains and draft DG charter and norms
  • Define Data Architecture requirements and develop DG tool strategy plan
  • Identify and onboard Data Stewards, Owners, Custodians, Stakeholders and broad communication to Data Community
  • Establish Data Domains and prepare Business Glossary, Data quality framework and Data Lineage
  • Scale and automate key processes

Main Deliverables


Client Benefits & Main Results

Engage business as soon as possible and demonstrate business value with concrete results

Ensure consistency across the different initiatives in the bank (common data elements should have the same golden source)

Pay attention to the communication to DG community to maintain accountability in the long run

Promote cost optimisation through automation of key processes