Director, Artificial Intelligence

iA Financial Group•Montreal, QC

1d•Hybrid

About The Position

As Director, Artificial Intelligence, you will play a key role in establishing and evolving iA Financial Group’s AI delivery capability by transforming business opportunities into concrete, responsible, and high-value solutions. This unique opportunity will allow you to build and lead a new multidisciplinary team dedicated to artificial intelligence while accelerating the organization’s digital transformation. Through inspiring leadership and a pragmatic approach, you will help identify the highest-potential initiatives, ensure their successful execution within a rigorous governance, quality, and security framework, and generate measurable benefits for our clients, advisors, employees, and business partners. Success in this role will depend on your ability to bridge AI opportunities, business needs, and operational realities, accelerating the journey from experimentation to sustainable impact.

Requirements

Inspiring leadership and the ability to build and develop high-performing multidisciplinary teams.
Strong knowledge of artificial intelligence technologies, including Generative AI, Large Language Models (LLMs), RAG architectures, intelligent agents, and MLOps/LLMOps practices.
Strong business acumen and a proven ability to transform complex opportunities into concrete initiatives that deliver measurable results.
Solid understanding of governance, security, privacy, regulatory compliance, and responsible AI practices.
Excellent communication, influence, and knowledge-sharing skills with technical, non-technical, and executive audiences.
Significant leadership experience in technology delivery, digital transformation, data, advanced analytics, or artificial intelligence.
Intellectual curiosity, sound judgment, operational rigor, and a strong customer-centric mindset.
A relevant university degree in computer science, software engineering, data science, information systems, business administration, analytics, or a related field.
Experience working in regulated environments, particularly in financial services, insurance, or organizations managing sensitive data.
Advanced French and English proficiency is required.

Nice To Haves

Experience with cloud platforms and enterprise AI services such as Azure AI, Azure OpenAI, Google Vertex AI, Google Gemini Enterprise, or equivalent solutions.
Knowledge of frameworks, tools, or platforms related to Large Language Models (LLMs), AI agents, RAG architectures, vector databases, semantic search, workflow orchestration, and model evaluation.
Experience scaling AI solutions beyond the prototype stage, including user adoption, change management, operational support, observability, continuous improvement, and benefits realization.
Knowledge of AI governance frameworks, responsible AI practices, technology risk management, cybersecurity, privacy, or data governance.
Experience facilitating committees, managing executive stakeholders, defining operating models, leading organizational transformation, or building new technology capabilities.
Certifications or training in product management, agile methodologies, data, artificial intelligence, information security, governance, architecture, or program management.

Responsibilities

Define, communicate, and evolve the vision of the AI Squad in alignment with organizational strategic priorities and business needs.
Build, lead, and grow a multidisciplinary team encompassing expertise in product management, data, AI engineering, software development, and delivery.
Oversee the selection, prioritization, and execution of a portfolio of high-impact AI use cases, balancing business value, technical feasibility, risk, and delivery capacity.
Drive the transformation of ideas, proofs of concept, and prototypes into robust, secure, measurable, and production-ready solutions.
Collaborate closely with business, IT, architecture, data, cybersecurity, compliance, privacy, risk, and operations teams to ensure the responsible and seamless integration of AI solutions.
Establish AI delivery practices, standards, and frameworks, including RAG architectures, AI agents, LLMOps/MLOps practices, model evaluation, observability, security, and governance.
Promote the responsible use of artificial intelligence by integrating principles of ethics, transparency, privacy, security, and risk management.
Implement value measurement mechanisms to assess adoption, business outcomes, solution quality, and overall initiative performance.
Support strategic decisions related to AI platforms, models, cloud services, and technology roadmaps.
Develop team talent through coaching, recruiting, prioritization, and capability building.
Represent the AI function with internal partners and executive governance bodies.
Maintain active awareness of emerging trends, innovations, and best practices in artificial intelligence and digital solution delivery.