Data Governance and Privacy
This session brings together leaders advancing modern privacy practices and responsible data strategies across the public sector
As governments adopt AI, cloud platforms, and data-integrated services, strong data governance is no longer optional—it is foundational. Public institutions must protect sensitive information, comply with evolving regulations, and maintain the confidence of citizens who expect both personalization and privacy. The challenge is designing governance frameworks that enable innovation without exposing systems, people, or processes to unnecessary risk.
This session brings together leaders advancing modern privacy practices and responsible data strategies across the public sector.
- Build data governance models that support innovation while maintaining trust
- Strengthen privacy protections across AI-enabled and automated services
- Break down data silos with secure, policy-aligned interoperability
- Prepare for new regulatory requirements and emerging risk landscapes
- Embed transparency, accountability, and public confidence into data-driven government
Featuring:
- Kentia Dazulma, Chief Data Officer & Executive Director, Strategy and Innovation, Canadian Food Inspection Agency
- Erika-Kirsten Easton, Chief Data Officer and Director General, Enterprise Service, Data and Architecture, Transport Canada
- Vanessa Kientega, A/Director – Enterprise Data & AI Governance, Employment and Social Development Canada
- Nader Shureih, Senior Vice President, Public Sector - Canada, Environics Analytics
Moderator: Blaine Matton, National Director - Advanced Solutions, Bell Canada