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AML KYC AI Capability Evaluation & Integration Services, Director
AML KYC AI Capability Evaluation & Integration Services, DirectorCiti • Mississauga, Peel Region, CA
AML KYC AI Capability Evaluation & Integration Services, Director

AML KYC AI Capability Evaluation & Integration Services, Director

Citi • Mississauga, Peel Region, CA
Il y a 10 jours
Type de contrat
  • Temps plein
Description de poste

AML KYC AI Capability Evaluation & Integration Services, Director

Join to apply for the AML KYC AI Capability Evaluation & Integration Services, Director role at Citi

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. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication / negotiation may be necessary.

Responsibilities

  • 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.

Required Qualifications

  • 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.
  • Preferred Qualifications

  • 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.
  • Education

  • Bachelor’s (4 Year University) Degree required
  • Master’s Degree (MS, MBA, etc) preferred
  • Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

    If you are a person with a disability and need a reasonable accommodation to use our search tools and / or apply for a career opportunity review Accessibility at Citi.

    View Citi’s EEO Policy Statement and the Know Your Rights poster.

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