Chief AI Officer

Role Description The Chief AI Officer at SNB CFE-CGC BANQUE PALATINE will lead the bank’s AI vision, strategy, and implementation across all business units. In this full-time remote role, the Chief AI Officer will define and prioritize AI initiatives, oversee end-to-end project delivery, and ensure that AI solutions align with regulatory requirements, ethical standards, and organizational goals. Day-to-day responsibilities include collaborating with executive leadership to identify value-creation opportunities, guiding data and engineering teams on model design and deployment, and setting governance frameworks for data usage and AI risk management. The role also involves building AI literacy across the organization, managing vendor and technology partnerships, monitoring performance of deployed models, and continuously evaluating new tools and methodologies to keep the bank at the forefront of responsible AI innovation. Qualifications Strong expertise in AI and data science, including machine learning, statistical modeling, and data analytics, with a track record of delivering production-grade AI solutions.Experience in technology leadership, such as leading cross-functional teams, defining technical roadmaps, and managing complex, multi-stakeholder AI programs.Deep understanding of AI governance, risk management, data privacy, and regulatory compliance within highly regulated sectors such as banking or financial services.Proficiency in modern data and AI platforms, cloud environments, and tools used for model development, deployment, monitoring, and lifecycle management.Excellent communication and stakeholder management skills, with the ability to explain complex concepts to non-technical audiences and influence senior decision-makers.Proven ability to work effectively in a remote, distributed environment, demonstrating autonomy, accountability, and collaborative mindset.Advanced degree in computer science, data science, engineering, mathematics, finance, or a related field; equivalent experience considered.Background in banking, financial services, or fintech is highly beneficial, along with familiarity with credit risk, fraud detection, customer analytics, or operations optimization.