International Consumer Banking AI/ML Governance Control Manager – Vice President

Overview

In this role, you will own and enhance the AI/ML governance control environment across International Consumer Banking. You will partner with Technology, Compliance, Legal, Audit, and Operational Risk to ensure strong risk controls and regulatory alignment. You will drive end-to-end governance processes, issue remediation, and reporting to executives. The position offers exposure to global programs, cross-functional collaboration, and opportunities to shape responsible AI adoption at scale.

Pay / Benefits

• mobility opportunities
• career development
• global exposure
• cross-functional collaboration
• equal opportunity employer
• diversity and inclusion emphasis

Responsibilities

• Own and maintain AI/ML governance risk and control view for ICB CDAO, covering data privacy, governance, permitted use, quality, protection, retention, storage, and analytics.
• Lead end-to-end lifecycle of AI/ML governance control issues: intake, classification, root cause analysis, action planning, milestone management, validation, closure, sustainability checks.
• Run governance control routines and reporting: governance forums, management information, and executive updates on performance, trends, and risks.
• Define and maintain control expectations, testing approach, evidence standards, and performance monitoring; drive uplift where controls are weak.
• Partner with lines of defense for consistent risk practices (design reviews, risk mitigation, issue management, governance reporting).
• Ensure alignment with policies and regulations; manage exceptions and strengthen adherence through monitoring and escalation.
• Lead control environment enhancements in response to firmwide initiatives and regulatory expectations across geographies; drive implementation to completion.
• Lead and coordinate end-to-end audit and regulatory exams and responses for ICB CDAO, including regulator interactions; track and close actions with accountability and evidence.

Key requirements

• Demonstrated subject-matter capability in AI/ML governance and oversight across the full model lifecycle, including GenAI/LLM components.
• Advanced proficiency in model risk management and applying controls throughout the AI model lifecycle.
• Experience in bias detection and mitigation to ensure fair and ethical AI outcomes.
• In-depth knowledge of AI regulatory compliance and internal standards/policies.
• Significant experience in operational risk, internal controls, audit, and control management within complex regulated environments.
• Strong experience with RCSA/CORE processes, issue management, and control deficiency remediation.
• Experience leading cross-functional initiatives with measurable outcomes and ability to drive issues to closure.
• Strong judgment under pressure and ability to manage competing priorities and deadlines.
• Clear communication and stakeholder influence skills; ability to escalate when needed.

• cross-functional collaboration
• influence and negotiation
• resilience under pressure
• AI/ML governance frameworks
• model risk management
• bias detection and mitigation

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