Job DescriptionData/AI Engineering Team LeadWhat's the opportunity?We are seeking a Data/AI Engineering Team Lead to deliver data-driven and AI-powered business solutions within Personal and Commercial Banking. You will work closely with business stakeholders, product teams, architects, and technology partners to solve complex business challenges through innovative use of data, software, automation, and AI. This role combines people leadership, solution delivery, and technical oversight across the full solution lifecycle from concept through production. You will help accelerate enterprise adoption of AI capabilities that improve client experiences, increase operational efficiency, and drive business growth. This is an opportunity to lead high-impact initiatives while developing and mentoring a team of talented engineers.
Your responsibilities include:- Lead the technical design and delivery of data and AI solutions while providing day-to-day guidance and mentorship to a team of engineers.
- Collaborate with business stakeholders, product teams, and architects to translate business requirements into scalable, secure, and production-ready solutions.
- Design and develop data pipelines, APIs, integrations, AI-powered applications, and workflow automation capabilities that deliver measurable business value.
- Champion engineering best practices across software development, DataOps, AIOps, CI/CD, testing, observability, and Site Reliability Engineering (SRE) to improve solution quality and reliability.
- Contribute hands-on to solution development, code reviews, troubleshooting, production support, and technical decision-making while helping grow the technical capabilities of the team.
You're our ideal candidate if you have:- Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
- 7+ years of experience delivering enterprise software, data, integration, or AI solutions, including 2+ years leading engineering teams.
- Strong software engineering expertise with hands-on experience in Python and at least one of Java or Scala for building production-grade applications and services.
- Experience designing and implementing data pipelines, APIs, event-driven architectures, workflow orchestration, and distributed systems using technologies such as Snowflake, Spark, Airflow, Kafka, OpenShift, and AWS.
- Proven experience implementing DataOps, AIOps, and DevOps practices, including CI/CD, infrastructure automation, observability, data quality controls, monitoring, and governance.
- Strong communication and stakeholder management skills, with the ability to translate business requirements into scalable, secure, and reliable technology solutions.
What's in it for you?- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-19
Application Deadline:2026-07-17
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
