Manager of Data Governance and AI

We’re seeking a Manager of Data Governance & AI to support and enhance the organization’s data, reporting, analytics and AI capabilities across its Trust, Corporate, and Fiduciary Services business in the Cayman Islands and British Virgin Islands. This role operates at the intersection of data, operations, and business performance. In addition to delivering high-quality reporting and analytics, the role contributes to shaping operational processes, improving data-driven decision-making, and supporting transformation initiatives across the business. Working directly with the Head of Operations and senior stakeholders across Regulatory, Compliance, Technology, and Shared Service lines, the role ensures that data is effectively leveraged to improve efficiency, strengthen governance, and enhance overall operational performance. The role also contributes to the development and execution of the organization's data and AI road map, identifying opportunities where analytics, automation, and artificial intelligence can improve operational efficiency, strengthen controls, reduce risk, and enhance client service. Duties and responsibilities: Technical expertise · Data ownership and quality: Manage core operational data assets to ensure accuracy, consistency, integrity, and reliability across business systems. · Data governance: Establish and maintain data governance standards, data definitions, ownership, lineage, and controls to ensure consistency, transparency and regulatory compliance across business systems, where appropriate. · Reporting and performance analytics: Design and maintain dashboards, KPIs, and reporting frameworks that support operational visibility and executive decision-making. · Operational insight delivery: Analyze operational data to identify trends, inefficiencies, and improvement opportunities across business processes. · Process and data improvement: Contribute to the redesign and enhancement of operational workflows through better use of data and AI. · Data integration support: Support the development and maintenance of data pipelines, reporting structures, and system integrations across platforms. · Automation and tooling: Assist in implementing automation and AI-enabled tools that improve reporting efficiency and reduce manual processes. · AI strategy and governance: Identify, evaluate, and prioritize AI use cases that support business objectives while ensuring appropriate governance, risk management, security, and regulatory compliance. · Regulatory data support: Ensure data used for FATCA, CRS, economic substance, annual returns, and beneficial ownership reporting is accurate and fit for purpose. · Standards and continuous improvement: Support the development of data standards, reporting consistency, and analytics best practices across the organization. Client care · Operational partnership: Work closely with Regulatory, Compliance, Finance, and Shared Service line teams to support day-to-day decision-making through data and insights. · Operational performance support: Provide analytical insights and reporting to support operational performance management and business transformation initiatives. · Stakeholder engagement: Act as a key point of contact for operational data and reporting needs across business functions. · Service orientation: Ensure timely, accurate, and structured delivery of data and reporting requests to internal stakeholders. · Insight communication: Translate data findings into clear, actionable insights that support operational improvement and business understanding. People and team development · Team management: Manage, coach, and develop data and analytics team members to build capability and support individual growth. · Resource planning: Set priorities, allocate resources, and oversee delivery across data, reporting, analytics, and AI initiatives. · Performance management: Conduct performance reviews, establish development goals, and support career progression within t