Senior Technologist - Data Engineering and AI Platforms

Role Overview
The ST of Data Engineering & AI Platforms will lead the design, development, and delivery of scalable data engineering platforms that power analytics, AI/ML, and intelligent decisioning across the bank. This leader will own the end-to-end data engineering strategy—spanning modern data platforms, cloud data architecture, and AI-ready data pipelines—while providing hands-on technical leadership to teams of data engineers and platform engineers.
This role sits at the intersection of data engineering, database architecture, and applied AI, ensuring data products are reliable, scalable, secure, and optimized for advanced analytics and AI use cases across consumer and commercial banking.

Technical Requirements: Desired Qualifications
• Experience in financial services, with understanding of consumer and commercial banking data.
• Experience supporting or enabling AI/ML and GenAI solutions, including feature pipelines and analytics platforms.
• Familiarity with data visualization and BI tools (Tableau, Cognos, SAS).
• Knowledge of responsible AI, data governance, and regulatory considerations in highly regulated environments.
• Experience modernizing legacy data platforms into cloud-native architectures.
• Executive speaking skills — ability to articulate strategy, challenge the status quo, and present to senior leadership and key stakeholders with confidence.
• Experience working across or within highly collaborative, non-hierarchical organizational cultures with an emphasis on peer relationships and open communication.