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Senior Director AI and Operations Engineering

National Bank of Canada
Montréal, CAN
Full-time
Director
Hybrid
Discovered 3 days ago
Artificial intelligenceOperational automationSoftware developmentPythonAPIs and integrationCloud architecture

Full Job Posting

Role overview

Leads AI and operations engineering in Wealth Management Operations, transforming processes through automation, software development, and agent technologies.

The role aims to simplify processes, increase operational capacity, improve client and employee experience, and sustainably reduce service costs.

Reports to the Vice-President of Wealth Management Operations and leads an engineering team of approximately 12.

Responsibilities

  • Identify high-value processes for automation and agentic AI, choosing the simplest effective technology.
  • Translate operational issues into functional solutions while remaining technically involved.
  • Drive initiatives from idea through prototype, deployment, adoption, and delivery of expected benefits.
  • Evaluate infrastructure, licensing, consumption, and model costs against generated value.
  • Build security, privacy, traceability, and operational resilience into solutions.
  • Develop engineering expertise in operations and improve operational capacity while controlling risk.
  • Monitor solution performance and measure gains.
  • Lead an engineering team that includes two directors, developers, and citizen developers.

Prerequisites

  • Bachelor's degree in computer science, software engineering, AI, data science, or related technology field, or equivalent education and experience.
  • 7–10 years managing operational and technology teams, including managers.
  • Experience in wealth management and/or capital markets.
  • Experience in organizational transformation, process optimization, continuous improvement, and major change management.
  • Strong knowledge of software development, Python, APIs, integration, cloud architecture, Git, CI/CD, testing, and monitoring.
  • Expertise in automation, workflows, RPA, low-code/no-code, generative AI, LLMs, and agentic technologies.
  • Understanding of AI economics, cybersecurity, data protection, responsible AI, access management, auditability, and resilience.
  • Builder mindset, operational acumen, mobilizing leadership, and ability to scale prototypes into secure, resilient solutions.
  • French and English; the role involves frequent discussions with service providers or partners who may speak a language other than French.

Work arrangement

  • Hybrid work model requiring at least three days per week in the office, with the option to work remotely the other two days.
  • Occasional travel between Montreal and Toronto.

Benefits and development

  • Flexible benefits include health and wellness options, group insurance, pension plan, employee share ownership, and employee and family assistance.
  • Other offerings include preferential banking services, community initiatives, telemedicine, and a virtual sleep clinic.
  • Continuous learning includes practical learning, training content, and collaboration with colleagues.

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