FIMA US 2025

April 07 - 08, 2025

Westin Copley Place, Boston MA

Cindy Tu

Director, IT & Data Audit Discover Financial Services

Day 1: Addressing Today’s Most Pressing Data Needs

2:50 PM Panel Discussion | Exploring the Evolution of the Data Compliance Function and the Future of Regulatory Teams

The new landscape that financial institutions find themselves in demands regulatory and compliance teams that will work effectively, efficiently and collaboratively to prevent noncompliance across the enterprise. The good news is, there seems to be a myriad of ways that financial institutions can better make use of their compliance teams to ensure adherence to data regulations. On this panel, we will explore how the demand on regulatory compliance teams has evolved and dive into the future of these teams by discussing:


  • The importance of working collaboratively with regulators to handle the next wave of regulations.
  • Ways to analyze current requirements and develop strategies for upcoming rules and regulations.
  • How to best work with data and business teams to enable innovation in light of increased regulatory requirements including SBA Section1071, CRA, CFPB Section 1033, GDPR, CCPA & BCBS 239 .
  • The role of tools and external partners in helping manage new waves of regulations.

Day 2: Regulatory and Workforce Trends Impacting Data Today and Tomorrow

9:25 AM Panel Discussion| Evolving Model & Data Governance in the Age of AI

The rapid advancement of AI technologies is transforming the landscape of model and data governance in financial institutions. As AI systems become more sophisticated and integral to operations, data managers face new challenges in ensuring compliance, transparency, and ethical use of these technologies. The evolving nature of AI necessitates a proactive approach to governance frameworks that can adapt to emerging risks and regulatory requirements. Join us as we explore the key considerations for evolving model and data governance in the age of AI for financial institutions and learn how:


• Implement AI-specific governance policies that address model explainability, bias detection, and algorithmic accountability.

• Establish cross-functional teams to oversee AI development, deployment, and ongoing monitoring throughout the model lifecycle.

• Develop robust data quality and lineage processes to ensure the integrity and traceability of AI training and operational data.

• Foster a culture of responsible AI by engaging stakeholders, providing comprehensive training, and recognizing champions who drive governance initiatives

Check out the incredible speaker line-up to see who will be joining Cindy.

Download The Latest Agenda