Director, Commercial Data Engineering - Scotiabank, Toronto

AI Summary

Scotiabank is seeking a Director of Commercial Data Engineering in Toronto, Ontario. This pivotal role leads the strategy and delivery of commercial data and AI initiatives across Canadian Banking Engineering, partnering with business stakeholders. The Director defines and delivers scalable data and analytics solutions, ensuring end-to-end accountability for data ingestion, transformation, and governance. Key requirements include over five years of progressive IT leadership experience in data engineering, analytics, or AI platforms, with proven expertise in enterprise data platforms and Big Data ecosystems for banking.

About the Role and Team

The Director of Commercial Data Engineering plays a critical leadership role within Scotiabank's Canadian Banking Technology (CBE) division, specifically within Data Engineering. This team is instrumental in supporting the comprehensive technology needs of Scotiabank’s Canadian banking business, delivering innovative solutions across a broad spectrum of products and services, including savings, chequing accounts, credit cards, and commercial loans. The successful candidate will lead the overall strategy, execution, and delivery of Commercial Data and AI initiatives, working closely with various business stakeholders and engineering teams to foster data-driven decision making. This involves defining and implementing scalable data and AI solutions specifically tailored for Commercial Banking use cases, such as client analytics, risk insights, and revenue growth initiatives. The role ensures end-to-end accountability for data ingestion, transformation, governance, and advanced analytics platforms across Scotiabank's enterprise ecosystems, including the Enterprise Data Lake, Enterprise Data Warehouse, and modern cloud-based analytics platforms. This leadership position requires building strong partnerships with business leaders and product owners to translate commercial business needs into robust, scalable data and AI solutions, driving significant business outcomes across the banking sector.

Key Responsibilities and Impact

As a Director, this role is accountable for the end-to-end delivery of commercial data products, encompassing ingestion, transformation, advanced analytics, and AI/ML enablement across various enterprise platforms. A core responsibility involves overseeing a diverse portfolio of data and AI initiatives, meticulously managing scope, budget, timelines, risks, and dependencies across multiple concurrent programs. The Director will lead and manage a diverse team of data engineers, architects, analysts, and delivery leads, spanning both onshore and offshore locations, fostering a high-performance culture. This includes driving the adoption of Big Data, Cloud, and AI technologies, such as distributed processing, advanced analytics, and machine learning pipelines, to deliver substantial business outcomes at scale within the banking environment. Furthermore, the role establishes and enforces stringent data governance, quality, and compliance frameworks, ensuring strict adherence to regulatory standards. Providing executive-level reporting and communication, including strategic recommendations to senior stakeholders, is also a key aspect. The Director champions innovation in AI/ML use cases for Commercial Banking, enabling predictive analytics, automation, and intelligent decisioning across the business. This leadership extends to vendor engagement, technology selection, and driving operational excellence through process optimization and continuous improvement across data delivery and support functions, ensuring platform stability, resilience, and scalability for all banking operations.