Director, Data Foundations, Automation & Infrastructure

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left"><span>Application Deadline:</span></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>10/30/2026<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><span>Address:</span></p>250 Yonge Street<p style="text-align:inherit"></p><p style="text-align:inherit"></p><div><div><div><div><div><div><div><p style="text-align:left">Job Family Group:</p></div></div></div></div></div></div></div>Data Analytics & Reporting<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p><span><i><b>About the Opportunity:</b></i></span></p><p><i>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.</i></p><p><i>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.

</i></p><p><i>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.</i></p><p><i>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.

</i></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1><span style="color:#0079c1">About This Role</span></h1><p>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.

</p><p><span style="color:#000000">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.

</span></p><p><span style="color:#000000">The ideal candidate combines deep data management expertise with strong people leadership and a high standard for quality.</span></p><h1><span style="color:#0079c1">Why This Role Matters</span></h1><p><span style="color:#000000">Trusted, well-managed data is the foundation for sound decisions, effective and trusted reporting, and the responsible use of AI.

This role directly contributes to:</span></p><p>· <span style="color:#000000">Consistent, reliable data that supports executive reporting and business decision-making</span></p><p>· <span style="color:#000000">Curated data assets that allow reporting, analytics and AI teams to focus on insights</span></p><p>· <span style="color:#000000">A scalable, modern data ecosystem that keeps pace with evolving business needs</span></p><p>· <span style="color:#000000">Strong data quality and control practices aligned to BMO’s data governance standards</span></p><h1><span style="color:#0079c1">Key Responsibilities</span></h1><h2><span style="color:#0079c1">Data Strategy and Architecture</span></h2><p>· <span style="color:#000000">Define and deliver the Data Foundations strategy and roadmap, aligned to business, CDAO and enterprise data priorities</span></p><p>· <span style="color:#000000">Design and maintain the data architecture and models for curated data assets, including master and reference data, with long-term usability and scalability in mind</span></p><p>· <span style="color:#000000">Establish and uphold standards for data modeling, naming, metadata, integration and data sharing</span></p><h2><span style="color:#0079c1">Data Development and Operations</span></h2><p>· <span style="color:#000000">Lead the design, development and operation of ETL processes and data pipelines</span></p><p>· <span style="color:#000000">Ensure recurring data production is accurate, timely and reconciled to authoritative sources, within published service levels</span></p><p>· <span style="color:#000000">Monitor data flows, resolve issues promptly and drive root-cause remediation</span></p><p>· <span style="color:#000000">Embed data quality checks, validation and controls throughout the data lifecycle</span></p><p>· <span style="color:#000000">Ensure data is handled securely and protected from loss or unauthorized access, in line with legal and company standards</span></p><h2><span style="color:#0079c1">Modernization and Innovation</span></h2><p>· <span style="color:#000000">Continuously evaluate and adopt technologies, tools and practices that improve the scalability, efficiency and resilience of the data ecosystem</span></p><p>· <span style="color:#000000">Partner with Technology on platform strategy, infrastructure and the path to production</span></p><p>· <span style="color:#000000">Prepare and structure data to support advanced analytics and AI use cases</span></p><h2><span style="color:#0079c1">Data Enablement and Partnership</span></h2><p>· <span style="color:#000000">Manage the intake and prioritization of data requests transparently, with clear serv