Engineering manager, data, ai and platform development & support

BMO Financial Group; Toronto; On-site; CAD 94,000 - 176,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Manager for Data and AI Technology to lead a team focused on creating data-driven products. Candidates should have a minimum of 15 years in IT, with strong experience in ETL processes, data architecture, and team leadership. This role offers a salary range of $94,600.00 - $176,000.00 along with various benefits including health insurance and tuition reimbursement.

Benefits

Performance-based incentives

Health insurance

Tuition reimbursement

Retirement savings plans

Qualifications

• 15+ years of relevant experience in IT.
• 5+ years of experience managing teams.
• Hands on experience with ETL for various sources.
• Hands on experience with AI concepts and data mining.
• Experience in implementing process improvements.

Responsibilities

• Manage a team of 20+ FTE and global resources.
• Lead the planning and development of data and AI products.
• Partner with stakeholders to translate business requirements.
• Implement internal process improvements.
• Mentor junior and intermediate developers.

Skills

ETL processes

Team management

Data architecture

SQL

DevOps methodologies

Data analysis

Agile delivery

Education

IT education and/or certification(s)

Tools

Python

AWS

Azure

SSIS

Apache Airflow

Job description

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 and Benefits

The salary range for this position is $94,600.00 - $176,000.00. BMO Financial Group’s total compensation package includes 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.

EEO Statement

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.