Vice President, Data Science & AI Engineering Lead

The Company is seeking a Vice President to lead data science and AI engineering for banking operations and controls. The role combines team leadership, stakeholder collaboration, governance, and hands-on development of AI solutions that improve efficiency, effectiveness, and business outcomes. Responsibilities include identifying and prioritizing use cases, designing and deploying solutions, ensuring they are tested, monitored, and compliant with applicable governance requirements, and tracking their performance against agreed measures. The successful candidate will also support team development, promote AI best practices, and communicate solutions through demonstrations and training materials. Candidates should have experience delivering machine learning and AI solutions into production in a large, highly regulated financial institution, ideally in operations or control functions. Required expertise includes AI development platforms, low-code or no-code automation, agentic solution design, data and feature engineering, and production software development within an SDLC framework. Strong Python skills and knowledge of AI risk management, validation, access controls, guardrails, and ongoing monitoring are important; SQL or Java experience is an advantage. Excellent communication, collaboration, and stakeholder management skills are essential, along with the ability to balance people leadership, hands-on engineering, and governance.