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The Director of AI Capability Evaluation & Integration Services (AICEIS) will lead a strategically critical team within the AML Detection and Client Insights organization, responsible for evaluating, aligning, and enabling the integration of AI-powered capabilities across the entire AML Transaction Monitoring (TM) lifecycle. This role is ideal for a senior leader with a proven track record in AML transformation, AI strategy, and regulatory governance, who thrives at the intersection of innovation, compliance, and operational enablement. The role will shape how AI capabilities are identified, assessed, and adopted at scale—ensuring tools enhance detection effectiveness, investigator productivity, and overall program integrity. It is a high-impact leadership role that defines the strategic AI capability roadmap, drives vendor and internal tool evaluations, and bridges functional silos—working closely with Model Risk Management, independent Validation, Technology, and AML stakeholders to ensure safe, explainable, and effective AI adoption.
Job Responsibility:
Build and lead the AICEIS team (5–7 FTEs), setting strategic direction, priorities, and goals aligned with enterprise AML modernization goals
Lead the structured evaluation of AI/ML solutions (both internal and third-party), focusing on their applicability across data sourcing, detection logic, prioritization, alert management, and reporting workflows
Own the AI capability evaluation framework and ensure consistency in how AI tools are benchmarked, tested, and prepared for production integration
Act as the principal liaison with Model Risk Management (MRM) and second-line risk functions to shape validation and governance approaches for both model and non-model AI
Oversee the execution of proofs-of-concept (POCs), pilot deployments, and control assessments for AI-powered tools, ensuring they meet performance, risk, and regulatory requirements
Drive executive-level engagement by delivering clear, actionable insights and recommendations to senior AML, Compliance, and Technology leadership on AI enablement opportunities and risks
Collaborate with AML Operations and Business Enablement teams to support user training, change readiness, and adoption strategies for approved AI capabilities
Monitor and interpret global AI regulatory trends (e.g., OCC, ECB, HKMA, Wolfsberg) and translate them into program standards and readiness assessments
Lead and manage a diverse team of staff across multiple locations
invest in the development of all team members to facilitate consistent execution
Requirements:
10+ years in AML, financial crime compliance, or risk technology roles, with 5+ years in leadership or transformation delivery capacity
Deep understanding of AML transaction monitoring processes, detection models, investigative workflows, and regulatory expectations
Demonstrated experience in evaluating or operationalizing AI/ML tools, preferably in a regulated financial services environment
Strong knowledge of model governance and model/non-model risk management principles
Executive presence and ability to influence across Compliance, Risk, Technology, and Operations
Track record of leading cross-functional teams, managing ambiguity, and delivering results in complex environments
Proactive leadership and motivational skills
Bachelors (4 Year University) Degree required
Nice to have:
Experience leading AML or fraud analytics transformations, vendor selection, or third-party AI tool assessments
Working knowledge of explainable AI (XAI), ethical AI frameworks, and model interpretability methods
Exposure to AI/ML regulatory frameworks (e.g., OCC 2011-12, SR 11-7, EU AI Act, HKMA AI guidelines)
Excellent communication skills with experience preparing executive briefings and board-level materials
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