Vice President – AI Business Enablement

Location: New York

## For additional information, please review .The AI Assurance Tooling & Execution team are responsible for shaping how Internal Audit leverages AI/GenAI to enhance assurance delivery by developing, prototyping, and integrating AI/GenAI tools into execution. The primary focus involves working with assurance delivery teams to identify, implement, and drive the adoption of specific AI-enabled assurance tests, thereby strengthening and driving efficiency in audit delivery.

Scalable implementations will necessitate extensive collaboration with the Strategy, Innovation and Professional Practices (SIPP) team.

This role will primarily focus in assisting the execution and operationalization of our GenAI assurance tooling strategy, including identifying and defining use cases, evaluating tools and engaging with other Lines of Defense to determine synergistic opportunities.

Citi IA is a dynamic global function of over 2,500 professionals located across more than 60 countries, covering Citi's global businesses and service to clients and customers through its network in 98 countries. Through a culture of continuous improvement, Citi IA is focused on maintaining its position as a best-in-class IA function and is committed to investing in people, learning and development, innovation, and methodology programs.

The Internal Audit mission is to provide independent, objective, reliable, valued and timely assurance to the Board, senior management and regulators of Citigroup and Citibank (and its subsidiaries), over the effectiveness of culture, ethical conduct, governance, risk management, and controls that mitigate current and evolving risks and to enhance the control environment.  IA is a change agent within Citi to enhance the control culture of Citigroup worldwide and therefore support senior management decision making around the globe.

Citi operates in over 100 countries and provides consumers, corporations, governments, and institutions with a broad range of financial services and products. Citi strives to create the best outcomes for clients and customers with financial ingenuity that leads to solutions that are simple, creative, and responsive.
** Responsibilities:
*** Actively execute and operationalize assigned components of IA’s GenAI tooling strategy, including overseeing tool evaluation, selection, and integration activities for IA assurance.
* Conduct detailed assessment and analysis to inform evidence-based build versus buy decisions on high-impact AI/Gen AI solutions for AI assurance tests.
* Implement and embed AI/GenAI solutions within IA Business/Function teams, ensuring integration, user adoption, and demonstrable value.
* Contribute to the preparation of AI/GenAI programs and projects, providing technical and operational insights, feasibility assessments, and provide detailed project planning input.
* Partner with a network of IA Business/Function teams to embed adoption of AI/GenAI solutions across IA.
* Provide analytical contribution to the strategic optimization of resource allocation and operational capacity for AI/GenAI initiatives, ensuring efficient use of talent and technology.
* Partners with AI Technical Enablement team to deliver solutions on time, within scope, and to required quality standards.
* Support the risk assessment when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency.
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* Qualification:

*** Previous experience in a related role.
* Experience of technology enabled changes and user engagement.
* Knowledge of GenAI/AI and machine learning concepts, algorithms and techniques, and AI/ GenAI lifecycle.
* Knowledge of IT governance and control frameworks (e.g. COBIT, NIST, Cybersecurity Framework).
* Understanding of leading cloud-based AI/ML platforms and their associated governance, security, and deployment best practices.
* Understanding of…