Introduction

Banking is undergoing a rapid digital transformation driven by Artificial Intelligence (AI), Data Governance, Data Quality, Regulatory Compliance, Digital Banking, Cloud Computing, Data Privacy, Risk Management, ESG Reporting, Real-Time Analytics, Data Security, Data Lineage, Data Architecture, and Master Data Management (MDM). Financial institutions generate massive volumes of structured and unstructured data across retail banking, corporate banking, digital payments, lending, treasury, fraud monitoring, and customer relationship management. Effective Banking Data Governance has become a strategic priority to ensure trusted, secure, compliant, and high-quality data that supports business intelligence, regulatory reporting, operational efficiency, and customer-centric innovation.

Banking Data Governance Training Course equips professionals with practical knowledge and globally recognized best practices for designing, implementing, and sustaining enterprise-wide data governance programs. Participants will learn how to establish Data Governance Frameworks, Data Stewardship, Data Ownership, Metadata Management, Data Cataloging, Data Lineage, Data Quality Management, Data Security, Data Ethics, AI Governance, Cloud Data Governance, Regulatory Reporting, Data Risk Management, and Enterprise Data Strategy. Through real-world banking case studies, hands-on workshops, governance templates, and industry scenarios, participants will gain practical skills to transform data into a strategic business asset while ensuring regulatory compliance, operational excellence, cyber resilience, and digital innovation.

Programme Curriculum

Banking Data Governance Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

Understand the principles of Enterprise Banking Data Governance.
Develop a Data Governance Framework aligned with global banking regulations.
Implement BCBS 239 principles for effective risk data aggregation and reporting.
Strengthen Data Quality Management using modern quality assessment techniques.
Design effective Data Stewardship and Data Ownership Models.
Implement Master Data Management (MDM) strategies across banking operations.
Improve Metadata Management, Data Cataloging, and Data Lineage capabilities.
Apply AI Governance and Responsible AI principles in banking analytics.
Enhance Data Privacy, Cybersecurity, and Information Security Governance.
Manage Cloud Data Governance for hybrid and multi-cloud banking environments.
Develop Regulatory Reporting and Compliance Data Management strategies.
Build Enterprise Data Risk Management and operational resilience capabilities.
Create a sustainable Data Governance Roadmap supporting digital transformation and business growth.

Target Audience

Chief Data Officers (CDOs)
Chief Information Officers (CIOs)
Data Governance Managers
Risk Management Professionals
Compliance & Regulatory Officers
Data Architects and Data Engineers
Business Intelligence & Data Analytics Professionals
Banking Digital Transformation Leaders

Course Modules

Module 1: Banking Data Governance Fundamentals

Introduction to Banking Data Governance
Data Governance Principles and Frameworks
Banking Data Lifecycle Management
Data Governance Operating Model
Roles and Responsibilities
Case Study: Developing a Data Governance Framework for a multinational commercial bank.

Module 2: Banking Regulations and Compliance

BCBS 239 Compliance
Basel III Data Requirements
AML/KYC Data Governance
GDPR and Data Privacy
Regulatory Reporting Best Practices
Case Study: Improving regulatory reporting accuracy through governance controls.

Module 3: Data Quality Management

Data Quality Dimensions
Data Profiling Techniques
Data Cleansing Strategies
Data Validation Controls
Continuous Data Quality Monitoring
Case Study: Reducing loan processing errors using Data Quality Management.

Module 4: Metadata Management and Data Lineage

Enterprise Metadata Management
Business Glossary Development
Data Catalog Implementation
End-to-End Data Lineage
Impact Analysis
Case Study: Implementing Data Lineage for financial reporting compliance.

Module 5: Master Data Management (MDM)

Customer Master Data
Product Master Data
Reference Data Management
Data Integration
MDM Governance Framework
Case Study: Single Customer View implementation for digital banking.

Module 6: Data Security, Privacy and AI Governance

Banking Data Security Framework
Data Privacy Compliance
Cybersecurity Governance
AI Governance Principles
Ethical AI in Banking
Case Study: Protecting customer data while deploying AI-powered credit scoring.

Module 7: Data Risk Management and Cloud Governance

Data Risk Assessment
Operational Risk Data Governance
Cloud Data Governance
Third-Party Data Risk
Business Continuity and Data Resilience
Case Study: Governing cloud-based banking data platforms during digital transformation.

Module 8: Implementing Enterprise Data Governance

Data Governance Roadmap
Governance KPIs and Metrics
Data Stewardship Program
Change Management
Continuous Improvement Framework
Case Study: Enterprise-wide Banking Data Governance implementation in a global financial institution.

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Data Governance Data Quality Management Regulatory Compliance Master Data Management

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000