Pawan Verma

CDO- Head of Data Management Office Industrial and Commercial Bank of China Ltd.

Pawan is a thought leader in the finance, risk, and regulatory data management space. He has executed multiple enterprise-wide data programs, he specializes in establishing and orchestrating initiatives to enhance data management capabilities for mid to large-size financial institutions. He has a good mix of working in the industry and with Big 4 consulting firms. He has helped a lot of large institutions enhance their data quality for business process optimization, revenue generation, risk, and regulatory compliance. He currently is the CDO of ICBC and is on a journey to overhaul the bank's data management infrastructure from a people, process, and technology perspective. He has demonstrated strategic thinking, developing innovative solutions, is an effective communicator at all management levels, and is a strong team player

Day 1: Addressing Today’s Most Pressing Data Needs

2:55 PM Panel Discussion | Making Your Data Fit for Business Across Multiple Environments

Ensuring that data is fit for business across multiple environments is essential to maintaining accuracy, compliance, and agility. Going about this has its own sets of hurdles that forces data leaders to leverage both their technical and soft skills in order to be successful. Join us for a panel discussion that dives into ways data leaders and their teams can ensure their data is fit for business across multiple data environments.

4:15 PM Panel Discussion| Lessons Learned in Data Transformation Strategies

Ensuring the needs of the business are top of mind when crafting a data strategy.
How to identify key use cases that can spearhead transformation.
Ways to improve data literacy across the organization and inside individual business units
To Establish a framework for continuous monitoring and optimization to ensure long-term success in data transformation initiatives.

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 Pawan.

Download The Latest Agenda