Job Description

Join a team shaping responsible use of artificial intelligence, machine learning, and generative AI in a highly regulated environment. You will translate policy into practical processes, controls, and scalable tooling. You will provide transparency through executive reporting and help prepare responses for audit, regulatory, and client requests.

As an AI Governance Lead - Vice President within the Commercial & Investment Bank’s Digital, Data and Artificial Intelligence organization, you will help set and execute the governance framework that enables responsible adoption of artificial intelligence, machine learning, and generative AI. You will partner closely with risk, legal, compliance, and technology stakeholders to translate policy into clear processes, controls, and scalable tooling. You will drive transparency through executive reporting and ensure the organization is prepared for audit, regulatory, and client requests.

Job responsibilities

• Support the definition and adoption of the in-business analytics ownership operating model, including clear roles, responsibilities, and decision rights across stakeholders
• 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 data science, architecture, engineering, and data stakeholders to assess impacts of new policies, standards, and procedures, and translate requirements into actionable implementation plans
• Coordinate and drive end-to-end execution of Commercial & Investment Bank-wide rollout plans, including communications, milestones, dependencies, and adoption tracking
• Design and build executive-ready governance reporting and dashboards that provide clear visibility into adherence, risk themes, and remediation progress
• Partner with controls management to identify, document, and monitor artificial intelligence and machine learning risks, issues, and actions through established governance forums
• Serve as a liaison and quality control point for audit, regulatory, and client inquiries, ensuring responses are accurate, consistent, and supported by evidence
• 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 or certification on artificial intelligence and machine learning governance concepts and 5+ years applied experience
• 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

• Experience with data visualization and analytics tools such as Tableau, Qlik, or Alteryx
• 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
• Experience building executive reporting routines, metrics, and dashboards that support governance and control outcomes
• Exposure to governance tooling implementation, workflow design, or controls automation initiatives