As a Data Scientist Manager Sr within Data & Automation – AI Governance and Oversight organization
Key responsibilities of the role include, but are not limited to:
• Builds and leads the enterprise AI testing and evaluation function, overseeing the design, execution, and continuous enhancement of testing frameworks for high-impact AI solutions.
• Owns a critical component of the Bank’s AI risk management strategy, including pre-deployment testing and post-deployment monitoring for generative and agentic AI solutions.
• Establishes AI performance, risk, and safety standards in partnership with Model Risk Management, including defining thresholds, monitoring criteria, and escalation triggers.
• Leads the response and escalation process for AI-related risks and incidents, ensuring timely execution of mitigation and containment actions, including solution pausing, patching, or deployment suspension when necessary.
• Provides technical leadership for a team of AI specialists, fostering expertise, collaboration, and delivery excellence across testing and evaluation initiatives.
• Serves as a hands-on practitioner-leader, actively contributing to technical strategy, testing methodologies, and problem-solving while leading day-to-day team activities.
• Demonstrates the ability to balance strategic leadership with technical execution, operating as both a people leader and subject matter expert in AI evaluation and governance.
Candidates should demonstrate strong proficiency in: Python, Microsoft Studio, Agent Builder, and Azure.

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