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The Northern Trust Company · Chicago, Illinois
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Establish and operate first line AI controls and governance for enterprise AI models and deployments.
About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Role Purpose The AI Risk & Controls Lead is responsible for establishing and operationalising first-line-of-defence (1LOD) controls for AI across the enterprise. This role ensures that AI solutions are designed, deployed, and managed in line with regulatory, risk, and audit expectations , while enabling responsible innovation at scale. Key Responsibilities 🔹 AI Governance & Control Framework Define and implement AI control frameworks aligned to enterprise risk standards Embed 1LOD controls across AI lifecycle (design → build → deploy → monitor) Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies 🔹 AI Model Management & Oversight Oversee AI model inventory, classification, and lifecycle management Define and enforce model governance standards (documentation, approvals, controls) Ensure traceability of models, datasets, and decision logic 🔹 Documentation & Regulatory Readiness Own end-to-end AI documentation standards (models, use cases, controls) Ensure readiness for internal audit, regulatory inspection, and model validation Maintain audit-ready evidence repositories 🔹 Controls Monitoring & Reporting Define and track AI control metrics, usage tracking, and compliance indicators Monitor adherence to policies (ethical AI, data usage, model risk) Provide risk dashboards and reporting to leadership 🔹 AI Risk & Audit Partnership Act as primary 1LOD interface with 2LOD (Risk) and 3LOD (Audit) Support audits, reviews, and issue remediation Translate regulatory expectations into practical control execution 🔹 Enablement & Advisory Advise AI...
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