Banking Technology Manager

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world. 

 

**The Opportunity

**

At EY, we’re all in to shape your future with confidence. As a Senior Manager in our Canadian Banking Technology Consulting team within the Platforms group, you’ll help leading financial institutions transform their businesses through technology, innovation, and the power of our people.

You’ll work with top executives to create and realize strategies for modernization, data migration, cloud migration, and core banking transformation. Each engagement is unique, requiring you to excel in ambiguous situations, manage multiple projects, and deliver long-term solutions with confidence.

You’ll have the opportunity to imagine the future and create it, crafting and implementing ideas for our clients.

Your Key Responsibilities

• Lead large-scale, multi-year banking technology engagements, including data migration, cloud migration, data strategy, and modernization of data platforms and core banking systems.

• Advise clients on strategy development and implementation for technology transformation and modernization.

• Manage multiple concurrent engagements, ensuring high-quality delivery and effective resource allocation.

• Build and maintain strong relationships with stakeholders at all levels, including executives, technology leaders, and cross-functional teams.

• Oversee team management, development, and inclusive collaboration across all resources.

• Generate new business opportunities by developing and presenting innovative solutions to clients.

• Stay current with industry trends, emerging technologies, and best practices in banking technology and platforms.

• Applies AI in the flow of work with strong professional judgement – Integrates AI into day-to-day delivery while validating outputs, challenging assumptions, and maintaining accountability for quality

• Leads responsible and risk-aware use of AI – Demonstrates sound judgement on data use, confidentiality, and ethical considerations and reinforces this standard practice; escalates risks appropriately and models good practices for teams

• Drives structured and creative problem solving using AI – Uses AI to accelerate analysis, scenario generation, and insight development while maintaining clear linkage to business outcomes