Chief Artifical Intelligence Officer (CAIO)

Overview The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank’s enterprise artificial intelligence strategy to drive operational efficiency, enhance risk management, and improve client experience. This role operates as a core member of the leadership team, directly supporting the Chief Operations Officer in transforming the Bank’s operating model through the disciplined adoption of artificial intelligence, advanced analytics, and intelligent automation. The CAIO is accountable for translating AI capabilities into measurable business outcomes by embedding AI into core workflows, decision-making processes, and customer interactions, while ensuring appropriate governance, control, and regulatory alignment within a highly regulated banking environment. What You'll Do: Enterprise AI Strategy and Execution Define and lead the Bank’s AI strategy aligned with business priorities, growth objectives, and operational efficiency goals Translate strategy into a prioritized portfolio of initiatives with clear business cases and measurable ROI Drive enterprise-wide adoption of AI across operations, credit, risk, fraud, compliance, and client-facing functions Establish clear success metrics tied to productivity, cost reduction, revenue enhancement, and risk mitigation Operating Model Transformation Redesign core business processes to incorporate AI-driven decisioning and automation Lead the development and deployment of AI-enabled workflows and digital agents across the enterprise Identify and eliminate manual, repetitive tasks through automation and intelligent process redesign Partner with business leaders to embed AI into day-to-day operations AI Platform and Infrastructure Define the Bank’s AI and data architecture strategy in partnership with Technology Oversee the development and deployment of scalable AI platforms, tools, and environments Establish standards for model development, testing, deployment, and monitoring Ensure seamless integration of AI capabilities into existing systems and workflows Governance, Risk, and Control Establish and maintain an enterprise AI governance framework, including policies, standards, and controls Ensure all AI use cases comply with regulatory expectations and internal risk management standards Partner with Risk, Compliance, and Legal to address model risk, data usage, and decision transparency Implement controls to manage bias, explainability, data quality, and output reliability Business Use Case Delivery Identify high-impact AI opportunities and lead end-to-end execution from concept through deployment Prioritize initiatives based on financial impact, feasibility, and risk considerations Partner closely with business units to ensure adoption and sustained utilization Track and report realized value from AI initiatives Data and Decision Intelligence Ensure AI initiatives are supported by high-quality, well-governed data Promote the use of advanced analytics to enhance decision-making across the Bank Partner with data and technology teams to improve access, usability, and reliability of data assets Talent and Capability Development Build and lead a high-performing AI organization, including data science, engineering, and AI product management Develop enterprise-wide AI literacy to enable adoption across all levels of the organization Attract, develop, and retain specialized talent in AI and advanced analytics Foster a culture of innovation with strong execution discipline Executive Alignment and Reporting Provide regular updates to the Chief Operating Officer and executive team on AI initiatives, performance, and risks Support executive-level and Board reporting through the COO as required Align AI investments and initiatives with overall enterprise priorities and resource planning Qualifications 10+ years in technology , data, AI, or analytics leadership roles required.  Deep expertise in artificial intelligence, machine learning, and automation technologies Strong business acumen with ability to link AI initiatives to financial outcomes Experience scaling AI solutions across complex organizations Understanding of AI governance, model risk, and regulatory considerations Executive-level communication and stakeholder management skills Ability to operate at both strategic and execution levels Enterprise level experience including managing and successfully delivering cross functional initiatives. Experience in leading projects and multi-tasking with diverse groups and locations. Demonstrable experience in implementing strategic plans and managing programs. Exceptional and proven leadership capabilities – communication, influence & negotiation, conflict resolution, people management, relationship management (internal/external), and team building. Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate. Strong service management and service delivery orientation. Excellent written, oral, and interpersonal communication skills. Ability to present ideas in at appropriate levels for different audiences. Proven ability to work within a changing environment and lead the implementation of change. Ability to apply change management principles to initiatives of variable sizes and degrees of complexities. Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financial and performance. Advanced level of creativity, strategic thinking and problem management skills. Ability to conduct and direct research into information security issues. Self-motivated, self-directed, attentive to detail, and able to multi-task. Ability to effectively prioritize and execute tasks in a high-pressure environment.