Engineering Manager, Data, AI and Platform Development & Support
Job in
Toronto, Ontario, M5A, Canada
Listing for:
BMO
Part Time
position
Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer, Data Analyst
-
Engineering
Data Engineer, AI Engineer
Job Description & How to Apply Below
Final date to receive applications:
02/27/2026
Address:
4100 Gordon Baker Road
Job Family Group:
Technology
Please note this role is subject to Hybrid Work model, working 2 days/week in the office at 4100 Gordon Baker Road or 250 Yonge Street. You must be a Technology Leader with people management experience. This role is not Virtual or Remote.
About the team
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.
We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.
What will you do
Manage a team of 20+ FTE and global resourcesLead in the planning, design, development, testing, implementation, documentation, and support of data and AI productsPartner with business stakeholders in translating business requirements (functional and non-functional) into data and AI productsBuilds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.Provide direction on technical designs and ensure alignment with standards and roadmapsProvide technical direction and guidance to junior and intermediate developersIdentify, track, and perform regression testing on defects foundIdentifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Accelerate development by building frameworks, automation scripts, and reusable codeStrengthen development capability via mentoring, knowledge sharing, and building communities of practiceOperates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.What do you need to succeed
Must have
15+ years of relevant experience and IT education and/or certification(s)5+ years of experience managing teams of FTE and global resourcesHands on experience with extract, transform, load (ETL) for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformationsHands on experience in solution architecture, data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses on-prem and cloudHands on experience in one or more of SQL, No
SQL, Python, Spark, Scala, code optimization, debuggingExperience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc...Hands on experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza, Apache Airflow or similar toolsExperience with structured, semi structured and unstructured datasets in batch and streamingExperience with data analysis, data mapping and data profilingHands on experience with Dev Ops methodologies, including CI/CD pipelines and infrastructure as code.Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needsExperienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automated solutions and ability to structure new solutions with minimal requirements provided yet seek for clarifications as needed.Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.Experience in Agile delivery, including usage of JIRAExperience in defining software engineering standards and best practicesExperience in large enterprise settingExperience interacting with senior leadersExperience working in highly regulated…
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