A career asSenior Director, AI and Operations Engineering in the Wealth Management Operations team at National Bank means acting as a leader in accelerating the transformation of wealth management operations by designing and deploying hyper-automation solutions that combine AI, automation, software development and agent technologies to simplify processes, increase operational capacity, improve the client experience and employé.You act as a field technology leader, able to identify high-value opportunities, select the right technology, rapidly prototype and industrialize secure, resilient and economically viable solutions. It is by relying on your experience in transformation, technology and with your knowledge of the investment sector and/or capital markets that you have a positive impact on the experience of our users, our employees, as well as on our ability to be a growth partner of choice for our organization. Remain concretely involved on the technical level and be able to quickly transform an operational issue into a functional solution Accelerate process transformation, drive adoption of new solutions, and drive initiatives from idea to prototype, ensuring delivery of expected benefits Building solutions where security, privacy, traceability and operational resilience are "Build by design" Develop strong engineering expertise within operations to accelerate the adoption of automation and artificial intelligence in their ways of doing things Generate business value through automation and optimization of operational capacity by ensuring the quality of solutions and controlling the risks associated with automation Monitor the performance of solutions and measure the gains made As a leader, you lead an engineering team of about 12 people, composed of two directors, developers and citizen developers, directly integrated into operations.

You benefit from a hybrid work model with a required presence in the office three days a week (minimum) and the option to work remotely the other two days, promoting both in-person collaboration and flexibility. You will be required to travel occasionally between Montreal and Toronto in order to promote close collaboration with teams and partners. We favor a variety of forms of continuous learning to enrich your development, including learning in action, training content made available to you and working in collaboration with colleagues with diverse expertise and profiles.

Bachelor's degree in computer science, software engineering,



artificial intelligence, data science or related technology field or any other combination of education and experience deemed equivalent ~Recognized experience in organizational transformation, process optimization and continuous improvement, particularly in the management of major changes involving operational, technological, human and risk management issues. ~ Strong knowledge of software development, Python, APIs, integration, and cloud architecture, as well as modern software engineering practices such as Git, CI/CD, testing, and monitoring. ~ Expertise in automation and artificial intelligence, including workflows, RPA, low-code/no-code solutions, generative AI, large language models (LLMs) and agentic technologies. ~ Good understanding of the economics of AI, including model consumption, inference costs, and trade-offs between performance and cost. ~ Good knowledge of the principles of cybersecurity, data protection and responsible AI, including access management, auditability and resilience. ~ Languages: French, English Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.

Artificial

Intelligence, Business Alignment, Communication, Critical Thinking, Decision Making, Emotional Intelligence, Innovation Management, Managerial Courage, Mobilization, Partner Development, Risk Management, Strategic Vision, Strategy Execution, Stress Management, Technical Leadership Remain concretely involved on the technical level and be able to quickly transform an operational issue into a functional solution Accelerate process transformation, drive adoption of new solutions, and drive initiatives from idea to prototype, ensuring delivery of expected benefits Building solutions where security, privacy,



traceability and operational resilience are "Build by design" Develop strong engineering expertise within operations to accelerate the adoption of automation and artificial intelligence in their ways of doing things Generate business value through automation and optimization of operational capacity by ensuring the quality of solutions and controlling the risks associated with automation Monitor the performance of solutions and measure the gains made As a leader, you lead an engineering team of about 12 people, composed of two directors, developers and citizen developers, directly integrated into operations. You benefit from a hybrid work model with a required presence in the office three days a week (minimum) and the option to work remotely the other two days, promoting both in-person collaboration and flexibility. You will be required to travel occasionally between Montreal and Toronto in order to promote close collaboration with teams and partners.

We favor a variety of forms of continuous learning to enrich your development, including learning in action, training content made available to you and working in collaboration with colleagues with diverse expertise and profiles. Bachelor's degree in computer science, software engineering, artificial intelligence, data science or related technology field or any other combination of education and experience deemed equivalent ~Recognized experience in organizational transformation, process optimization and continuous improvement, particularly in the management of major changes involving operational, technological, human and risk management issues. ~ Strong knowledge of software development, Python, APIs, integration, and cloud architecture, as well as contemporary software engineering practices such as Git, CI/CD, testing, and monitoring. ~ Expertise in automation and artificial intelligence, including workflows, RPA, low-code/no-code solutions, generative AI, large language models (LLMs) and agentic technologies. ~ Good understanding of the economics of AI, including model consumption, inference costs, and trade-offs between performance and cost. ~ Good knowledge of the principles of cybersecurity, data protection and responsible AI, including access management, auditability and resilience. ~ Flexible group insurance Generous pension plan Employee and family assistance program Involvement in community initiatives Virtual sleep clinic Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.

Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments.

📌 Senior Director Hyperautomation And Engineering (Montreal)
🏢 National Bank of Canada
📍 Montreal