Principal – Technology Risk and Control- Artificial Intelligence & Cloud Risk

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.

Enterprise Framework & Governance Evolve the enterprise AI and Cloud Risk & Control Framework, partnering with AI Architecture, Model Risk, Cyber, Data, Privacy, Resilience, and Third‑Party Risk teams to ensure consistency and regulatory defensibility. Define enterprise‑wide risk taxonomy and tiering, aligned to use‑case criticality, autonomy, data sensitivity, customer impact, and systemic exposure. Establish clear risk‑to‑control linkages to support consistent decisions and audit‑ready governance. Define minimum control expectations for AI and Cloud services and act as the authoritative interpreter of AI and Cloud risk standards. AI & Cloud Risk Assessment Collaborate on the enterprise AI and Cloud risk assessment methodology, ensuring it is risk‑based, proportionate, repeatable, and auditable. Partner with AI Architecture and Model Risk to assess inherent and residual risks, including model behavior, bias, explainability, data risk, security, resilience, and autonomy. Embed risk assessment across the AI lifecycle and cloud onboarding and architecture decisions, ensuring outcomes inform risk acceptance and executive reporting. Control Design & Effectiveness Set expectations for AI and Cloud control design, ensuring controls are embedded by design and aligned to preventive, detective, and corrective principles. Define standards for human oversight, monitoring, logging, explainability, and evidence. Partner with Risk and Assurance teams to assess control effectiveness and drive remediation of systemic gaps. Regulatory Alignment & Advisory Ensure alignment with internal standards, model risk governance, and emerging AI regulatory expectations. Translate regulatory requirements into practical, implementable controls for first‑line teams. Act as a trusted risk advisor and challenger to senior Technology, Cloud, Architecture, and AI leaders, owning final risk recommendations for high‑impact initiatives. Enablement & Maturity Develop playbooks and guidance to scale consistent AI and Cloud risk practices. Coach risk and technology partners to improve enterprise risk fluency. Advance AI governance maturity, including automation and integration with modern engineering practices.