Head of Validation for AI Non-Model

Citi•Wilmington, DE

About The Position

Strategy and Vision: Develop and execute a comprehensive strategy for AI/ML Non-Model Risk Review. Partner with various stakeholders in 1st and 2nd Line of Defenses to support firm's AI strategy, including adoption of GenAI use cases to support business initiatives. Technology Leadership: Oversee the technical aspects of AI/ML Non-Model Risk Review and monitoring, including Generative AI. Stay abreast of the latest advancements in GenAI and ensure the organization adopts best practices. Team Management: Build, lead, and mentor the organization of AI/ML specialists, fostering a culture of innovation and collaboration. Provide guidance and support for their professional development. Stakeholder Management: Effectively communicate with key stakeholders across different business units and functions. Clearly articulate the MRM requirements of AI/ML validation and manage expectations. Risk Management: Implement robust risk management frameworks for AI/ML Non-Model Risk Review, addressing potential ethical, regulatory, and operational risks. Ensure compliance with relevant guidelines and policies. This includes close collaboration with other 2nd LOD risk oversight functions (e.g., Compliance, Operational Risk Management, and Enterprise Risk Management, etc.). Innovation and Research: Drive continuous improvement and innovation in AI/ML Non-Model Risk Review process. Explore new opportunities and technique for enhance risk management practice and support speed to market. Partnership and Collaboration: Build and maintain strategic partnerships with relevant AI/ML external vendors, research institutions, and industry experts. Resource Allocation: Manage budget and resources effectively.

Requirements

Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
15+ years of experience in AI/ML, with a strong focus on GenAI.
Proven track record of leading and delivering successful GenAI projects.
Deep understanding of AI/ML technology including GenAI, architectures, and training techniques.
Proficiency in relevant programming languages and tools.
Exceptional leadership and team management skills.
Ability to inspire, motivate, and guide a high-performing team.
Excellent written and verbal communication skills.
Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
Strong understanding of business processes and the value proposition of the GenAI use cases to drive business value.
Experience in developing and implementing risk management frameworks for AI/ML, specifically in the context of Generative AI.
Ability to build and maintain strong relationships with key stakeholders, both internal and external.
Analytical Thinking
Business Acumen
Credible Challenge
Data Analysis
Governance
Policy and Procedure
Policy and Regulation
Risk Controls and Monitors
Risk Identification and Assessment
Statistics

Responsibilities

Develop and execute a comprehensive strategy for AI/ML Non-Model Risk Review.
Partner with various stakeholders in 1st and 2nd Line of Defenses to support firm's AI strategy, including adoption of GenAI use cases to support business initiatives.
Oversee the technical aspects of AI/ML Non-Model Risk Review and monitoring, including Generative AI.
Stay abreast of the latest advancements in GenAI and ensure the organization adopts best practices.
Build, lead, and mentor the organization of AI/ML specialists, fostering a culture of innovation and collaboration.
Provide guidance and support for their professional development.
Effectively communicate with key stakeholders across different business units and functions.
Clearly articulate the MRM requirements of AI/ML validation and manage expectations.
Implement robust risk management frameworks for AI/ML Non-Model Risk Review, addressing potential ethical, regulatory, and operational risks.
Ensure compliance with relevant guidelines and policies. This includes close collaboration with other 2nd LOD risk oversight functions (e.g., Compliance, Operational Risk Management, and Enterprise Risk Management, etc.).
Drive continuous improvement and innovation in AI/ML Non-Model Risk Review process.
Explore new opportunities and technique for enhance risk management practice and support speed to market.
Build and maintain strategic partnerships with relevant AI/ML external vendors, research institutions, and industry experts.
Manage budget and resources effectively.