Senior Manager Data Engineering

BMO; Toronto; Hybrid; CAD 95,000 - 176,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group is seeking a Senior Data & AI Platform Leader in Toronto to guide data and AI product portfolios and drive enterprise-scale transformations.

You will manage a 20+ FTE team, collaborate with stakeholders, design scalable architectures, and mentor engineers while delivering reliable data pipelines and AI capabilities in a hybrid work environment.

Qualifications

• 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 ETL for various sources and downstream consumption, ability to write code and guide others in 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 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

Responsibilities

• 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 into data and AI products.
• Build 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.

Skills

ETL

SQL

Python

Spark

Scala

Data modelling

AI concepts

DevOps

CI/CD

JIRA

Cloud

Education

IT education or certification

Tools

SSIS

Glue

AWS

Azure

Netezza

Airflow

Job description

Application Deadline

10/29/2026

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

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 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 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 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

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

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.