AI/ML Governance Lead - Vice President

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
• 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
• Serve as a liaison and quality control point for audit, regulatory, and client inquiries, ensuring responses are accurate, consistent, and supported by evidence

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
• Prowess in influencing across teams, building consensus, and driving 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