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BMO in Canada seeks a Director, Data Foundations, Automation & Information Infrastructure to lead a highly technical team that builds trusted, curated data assets for reporting, analytics, AI and strategic decision‑making across Commercial Banking.
You will oversee data engineering, data operations, information infrastructure, and business-managed applications, shaping a modern data platform while aligning with governance, security, and enterprise priorities.
This is an exciting leadership opportunity within Commercial Banking to shape the future of how data powers business decisions across Canada and the U.S.
As Director, Data Foundations, Automation & Information Infrastructure, you will lead a highly technical team responsible for delivering trusted, curated, and scalable data assets that support reporting, analytics, AI, and strategic decision-making across Commercial Banking. You will oversee data engineering, data operations, information infrastructure, and business-managed applications while influencing the broader Commercial Banking data strategy.
The role combines banking knowledge, technical leadership, people management, and strategic thinking. As the organization continues its journey toward cloud modernization, AI-enabled automation, Client 360 capabilities, and near real-time data delivery, this leader will play a critical role in shaping the future state of Commercial Banking's data ecosystem.
This opportunity is ideal for a banking-savvy technology leader who enjoys building high-performing teams, solving complex data challenges, driving modernization initiatives, and translating business needs into scalable technical solutions.
The Director, Data Foundations leads the team responsible for building, managing and continuously improving the curated data that powers Commercial Banking. This includes client, financial, client activity and master data, along with the other key business data sets that reporting, analytics and AI teams across the organization rely on to make decisions.
The Director owns the end-to-end data lifecycle, from requirements, data modeling and architecture, through ETL and pipeline development, to the reliable production of trusted data within established service levels. The role partners with business, analytics, AI, Technology and Data Governance partners to ensure data is accurate, well documented and easy to use, and leads the ongoing modernization of data platforms and practices.
The ideal candidate combines deep data management expertise with strong people leadership and a high standard for quality.