Lead, AI & Data Platforms at BMO Financial Group
Toronto, ON M8X 1C4, Canada -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

94600.0

Posted On

27 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Scripting, Bash, Cost Management, Financial Services, Powershell, Devops, Infrastructure, Python, Code, Splunk, Automation, New Relic

Industry

Information Technology/IT

Description

QUALIFICATIONS

  • 5+ years of experience in platform operations, DevOps, or infrastructure roles, ideally within financial services or other regulated industries.
  • Hands-on experience with AI/ML platforms (e.g., Databricks, SageMaker, Azure ML) and data platforms (e.g., Snowflake, BigQuery, Azure Synapse).
  • Strong understanding of observability tools and practices (e.g., Dynatrace, New Relic, Grafana, Splunk).
  • Familiarity with FinOps principles and cloud cost management in multi-cloud or hybrid environments.
  • Proficiency in scripting and automation (e.g. Ansible, Python, Bash, Terraform, PowerShell).
  • Experience with CI/CD pipelines, configuration-as-code, and infrastructure-as-code.
  • Strong communication and collaboration skills, with the ability to work across technical and business teams.

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.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes

Responsibilities

ABOUT THE ROLE

We are looking for a technically skilled and strategically minded Lead, AI and Data Platforms to support and evolve our enterprise-grade AI and data platforms. This role is critical in ensuring the operational excellence, cost efficiency, and observability of platforms that power advanced analytics, machine learning, and data-driven decision-making across the organization.
As part of a financial institution, you will play a key role in maintaining the integrity, performance, and compliance of platforms that support sensitive and regulated workloads.

KEY RESPONSIBILITIES

  • Provide Level 2 operational support for AI and data platforms, ensuring high availability, performance, and security.
  • Lead incident response, root cause analysis, and service restoration efforts for platform-related issues.
  • Implement and enhance observability practices (monitoring, alerting, logging) to proactively manage platform health.
  • Collaborate with FinOps teams to monitor and optimize cloud and infrastructure spend, ensuring cost transparency and accountability.
  • Contribute to platform strategy, roadmap development, and capacity planning aligned with business and regulatory needs.
  • Support compliance, data governance, and risk management initiatives in partnership with security and audit teams.
  • Maintain operational documentation, runbooks, and knowledge-sharing resources.
  • Mentor junior team members and promote operational excellence and automation.
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