AI Risk Management Senior Associate

Make banking a Fifth Third better® We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank. As first line of defense, serves as a strategic partner in the responsible adoption and governance of Artificial Intelligence (AI) across the organization. Identifies, assesses, mitigates, monitors, and manages risks associated with AI, Generative AI, Agentic AI, machine learning, intelligent automation, and other emerging technologies, while enabling business teams to innovate within established risk appetite and governance frameworks. Partners closely with business, technology, operations, data, Legal, Compliance, Model Risk Management, Information Security, Privacy, Enterprise Risk, and Audit stakeholders to support the design, implementation, and scaling of AI-enabled solutions. Helps identify and develop AI use cases that improve internal processes, employee productivity, operational efficiency, decision-making, customer experience, and control effectiveness, while embedding appropriate governance and risk mitigation throughout the AI lifecycle. Supports Business Controls in advancing AI governance structures, policies, processes, controls, risk assessments, monitoring capabilities, and tools aligned with the Bancorp's Enterprise Risk Management (ERM) framework and responsible AI principles. Serves as a trusted advisor to stakeholders from use case ideation and proof of concept through deployment, ongoing monitoring, change management, and retirement. Transforms data into actionable business intelligence through analysis, risk insights, metrics, and reporting for stakeholders and governance forums. Provides oversight and effective challenge to validate program effectiveness, support regulatory compliance, promote ethical and responsible use, and enable scalable AI adoption across assigned lines of business, functional areas, and enterprise initiatives. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and for ensuring that actions and behaviors support a positive customer experience. While operating within the Bank's and line of business risk appetites, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types, including risks introduced or amplified by AI-enabled capabilities. ESSENTIAL DUTIES AND RESPONSIBILITIES AI Governance and Risk Management · Assists Business Controls leadership with the development and implementation of complex AI governance strategies, controls, policies, standards, and procedures that improve effectiveness and efficiency across the respective business or functional area. · Provides expertise and analysis related to the identification, assessment, control, monitoring, testing, and reporting of risks associated with AI, Generative AI, Agentic AI, machine learning, intelligent automation, and emerging technologies. · Supports AI use case intake, classification, risk tiering, approval, inventory, and governance processes in accordance with enterprise requirements. · Evaluates AI-enabled solutions for risks involving fairness, bias, explainability, transparency, privacy, security, data quality, intellectual property, resilience, human oversight, customer impact, and regulatory compliance. · Conducts AI-focused RCSA facilitated sessions in which applicable processes, risks, controls, and residual risk ratings are evaluated and documented. · Identifies applicable governance requirements and supports the design, implementation, documentation, and ongoing effectiveness of AI-related controls. · Coordinates updates to AI governance, risk, control, issue, indicator, and inventory records in designated systems of record, including applicable GRC and portfolio management tools. AI Enablement and Use Case Development · Partners with business, technology, operations, and data teams to identify and prioritize AI use cases that improve internal processes, employee productivity, operational efficiency, decision-making, customer experience, and control effectiveness. · Provides practical risk advisory support throughout the AI lifecycle, from ideation and proof of concept through development, testing, deployment, ongoing monitoring, change management, and retirement. · Helps translate business needs into well-defined AI use case requirements, success measures, control expectations, and governance deliverables. · Supports experimentation and proof-of-concept activities within approved environments and guardrails, helping teams evaluate feasibility, value, risk, and readiness for broader implementation. · Collaborates with business and technology stakeholders to design AI-assisted workflows, intelligent automation, and human-in-the-loop processes that balance innovation, operational effectiveness, and risk management requirements. · Evaluates emerging AI capabilities, tools, and platforms and communicates potential business applications, limitations, dependencies, and control considerations. · Promotes reusable patterns, standards, and governance approaches that allow responsible AI use cases to scale across the organization. Risk Assessment, Monitoring, and Reporting · Gathers, integrates, and analyzes information from multiple sources to identify issues, trends, concentrations, associations, and cause-and-effect relationships involving AI adoption and performance. · Develops and maintains AI risk metrics, key risk indicators, key performance indicators, risk appetite measures, and management reporting for stakeholders and governance forums. · Partners with Support Functions and Risk Experts to identify applicable enterprise and risk appetite indicators, determine which indicators should be designated as key, evaluate thresholds, and document approved changes in the GRC tool.