Application Deadline:
07/30/2026
Address:
4100 Gordon Baker Road
Job Family Group:
Technology
Please note this role is subject to Hybrid Work model, working 2 days per week in the office at 4100 Gordon Baker Road, Toronto or 250 Yonge Street, Toronto
What will you do- Manage a team of 20+ FTE and global resources
- Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products
- Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
- Builds 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 roadmaps
- Provide technical direction and guidance to junior and intermediate developers
- Identify, track, and perform regression testing on defects found
- Identifies, 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 code
- Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
- Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
What do you need to succeedMust have - 15+ years of relevant experience and IT education and/or certification(s)
- 5+ years of experience managing teams of FTE and global resources
- Hands 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 transformations
- Hands 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 cloud
- Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
- Experience 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 tools
- Experience with structured, semi structured and unstructured datasets in batch and streaming
- Experience with data analysis, data mapping and data profiling
- Hands on experience with DevOps 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 needs
- Experienced 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 JIRA
- Experience in defining software engineering standards and best practices
- Experience in large enterprise setting
- Experience interacting with senior leaders
- Experience working in highly regulated industries
Salary:$94,600.00 - $176,000.00
Pay Type: Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
