AI/ML Governance Lead, Commercial & Investment Banking Digital, Data and AI

Job responsibilities

• Serve as a liaison partnering with the Firmwide CAO (Chief Analytics Office) to coordinate and deliver region-specific responses to audit, regulatory, and client inquiries, ensuring all outputs are accurate, consistent, and fully evidence-supported

• Serve as the region-specific lead for promoting the CIB AI governance operating model, actively guiding and supporting teams through implementation by providing enablement, coordination across stakeholders, and ongoing oversight to drive consistent adoption

• Partner with data science, architecture, engineering, and data stakeholders to assess impacts of new policies, standards, and procedures, and translate requirements into actionable implementation plans

• Maintain and continuously improve artificial intelligence and machine learning governance documentation (procedures, charters, operating models, and job aids), including managing periodic reviews and refresh cycles

• Partner with controls management to identify, document, and monitor artificial intelligence and machine learning risks, issues, and actions through established governance forums

• Enhance and streamline governance by helping define and execute the strategic roadmap for governance tooling, including requirements definition and process standardization

• Facilitate working sessions and stakeholder forums to drive alignment, resolve blockers, and promote consistent best practices across lines of business

Required qualifications, capabilities and skills

• Formal training and/or certification in AI/ML (including GenAI) governance, and demonstrated knowledge of agentic AI concepts (e.g., orchestration, tool use, human-in-the-loop controls, and monitoring) with at least 5+ years of applied experience implementing and advising on AI/ML governance concepts
• Bachelor's degree in relevant field and relevant technical experience in AI/ML governance, model risk management, or regulatory compliance.

• Experience delivering or governing artificial intelligence, machine learning, and generative AI solutions within financial services or a highly regulated environment

• Demonstrated ability to partner effectively with senior stakeholders across risk, legal, compliance, controls, business, and technology teams

• Strong written, verbal, and presentation skills, including advanced proficiency with Microsoft Excel and PowerPoint

• Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical processes and controls

• Proven ability to influence across teams, build consensus, and drive adoption without direct authority

• Strong attention to detail with an ability to manage multiple initiatives, deadlines, and changes in priorities

• Strong interpersonal skills and the ability to operate effectively in a fast-moving, evolving environment

Preferred qualifications, capabilities and skills

• Familiarity with model risk management concepts and governance expectations for machine learning models

• Knowledge of banking, markets, and trading, and how analytics is applied across those domains

• Exposure to governance tooling implementation, workflow design, or controls automation initiatives