AI Risk Management Senior Associate

Fifth Third Bank • Cincinnati, OH

1d

About The Position

As a first-line-of-defense strategic partner, the AI Risk Management Senior Associate supports the responsible adoption and governance of artificial intelligence across Fifth Third Bank. The role identifies, assesses, mitigates, monitors, and manages risks associated with AI, Generative AI, Agentic AI, machine learning, intelligent automation, and other emerging technologies, while helping business teams innovate within established risk appetite and governance frameworks.

The position partners with business, technology, operations, data, Legal, Compliance, Model Risk Management, Information Security, Privacy, Enterprise Risk, and Audit stakeholders to develop and scale AI-enabled solutions. It advises teams throughout the AI lifecycle—from use-case ideation and proof of concept through development, deployment, monitoring, change management, and retirement—and helps establish governance, controls, risk assessments, and monitoring aligned with the Bancorp's ERM framework and responsible AI principles.

The role also turns data into actionable business intelligence through risk analysis, metrics, and reporting; provides oversight and effective challenge; supports regulatory compliance and ethical AI use; and enables scalable AI adoption. The employee is accountable for identifying, assessing, managing, monitoring, and reporting risks, openly elevating concerns, following policies and procedures, and supporting positive customer experiences. The position is based in Cincinnati, Ohio.

Requirements

• Bachelor's degree or equivalent experience required.
• Five or more years of experience in financial services, risk management, business controls, compliance, technology risk, model risk management, information security, data governance, analytics, product management, or a related discipline preferred.
• Working understanding of AI concepts, including large language models, Generative AI, Agentic AI, machine learning, automated decision-making, intelligent automation, and the AI lifecycle.
• Knowledge of AI governance, responsible AI principles, model risk management, data governance, privacy, information security, third-party risk, and enterprise risk management.
• Ability to identify and assess AI risks involving fairness, bias, explainability, transparency, data quality, privacy, security, intellectual property, performance, resilience, human oversight, customer impact, and regulatory compliance.
• Strong analytical skills and ability to interpret and apply policies, standards, laws, regulations, and regulatory guidance in a complex business environment.
• Professional verbal and written communication skills, including explaining complex AI and risk concepts to technical and non-technical audiences with appropriate discretion and confidentiality.
• Ability to build trusting relationships, facilitate cross-functional discussions, influence without direct authority, and provide effective challenge.
• Collaborative and approachable working style; ability to thrive in a fast-paced environment and adapt as technologies, business needs, and regulatory expectations evolve.
• Working knowledge of Microsoft Office products.
• Ability to work independently with minimal supervision and escalate material risks, decisions, and dependencies appropriately.

Nice To Haves

• A degree in Risk Management, Business, Information Systems, Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field; a relevant master's degree is also preferred.
• Experience supporting AI, machine learning, Generative AI, intelligent automation, analytics, digital transformation, or emerging technology initiatives.
• Experience moving AI use cases from concept or proof of concept into controlled production use.
• Experience with AI governance programs, AI or model inventories, AI risk assessments, responsible AI controls, technology governance, or emerging technology oversight.
• Familiarity with the NIST AI Risk Management Framework, ISO/IEC 42001, model risk management guidance, OCC supervisory expectations, and other relevant banking or technology risk frameworks.
• Experience with Microsoft Copilot, Azure AI services, AWS AI services, large language models, intelligent automation platforms, or comparable enterprise AI capabilities.
• Professional certifications such as CRISC, CISA, CISSP, CRCM, FRM, PMP, or relevant cloud or AI certifications.
• Experience supporting AI governance committees, model risk committees, technology risk committees, product governance forums, or similar cross-functional decision-making bodies.
• Familiarity with enterprise AI platforms, collaboration tools, analytics tools, and GRC systems.

Responsibilities

• Help develop and implement AI governance strategies, controls, policies, standards, and procedures.
• Identify, assess, control, monitor, test, and report risks associated with AI and emerging technologies.
• Support AI use-case intake, classification, risk tiering, approval, inventory, and governance processes.
• Evaluate AI-enabled solutions for fairness, bias, explainability, transparency, privacy, security, data quality, intellectual property, resilience, human oversight, customer impact, and regulatory compliance.
• Facilitate AI-focused RCSA sessions and document processes, risks, controls, and residual risk ratings.
• Design, implement, document, and assess the ongoing effectiveness of AI-related controls; maintain related governance and risk records in designated systems.
• Partner with business, technology, operations, and data teams to identify and prioritize AI use cases and translate business needs into requirements, success measures, controls, and governance deliverables.
• Provide risk advisory support throughout the AI lifecycle and support experimentation and proof-of-concept work within approved environments and guardrails.
• Help design AI-assisted workflows, intelligent automation, and human-in-the-loop processes; evaluate emerging AI capabilities, tools, and platforms and communicate their applications, limitations, dependencies, and control considerations.
• Promote reusable patterns, standards, and governance approaches for responsible scaling of AI use cases.
• Analyze information from multiple sources to identify AI-related issues, trends, concentrations, associations, and cause-and-effect relationships.
• Develop and maintain AI risk metrics, KRIs, KPIs, risk appetite measures, thresholds, and management reporting; monitor use cases, controls, incidents, exceptions, performance, and indicators.
• Investigate actual or potential operational losses, AI incidents, model or system failures, control breakdowns, and unexpected events; support root cause analysis and corrective actions.
• Execute applicable ERM scenario analysis and support linkage of loss events to relevant RCSA processes and risks.
• Identify control breakdowns and emerging exposures, and coordinate remediation with Business Controls leadership and business owners.
• Support resolution of issues raised by Internal Audit, Compliance, Model Risk Management, Information Security, Privacy, Enterprise Risk, and other risk functions; assist with action plans, milestones, evidence review, validation, and closure.
• Monitor remediation progress and escalate delays, dependencies, risk acceptances, or ineffective corrective actions through appropriate governance channels.
• Stay informed about laws, regulations, regulatory guidance, supervisory expectations, and industry practices affecting AI and emerging technologies; support regulatory change management and examination, audit, compliance, and governance responses.
• Provide oversight and effective challenge of AI supplier and outsourcing strategies; assess third-party AI risks, due diligence, contractual considerations, monitoring, controls, and exit strategies.
• Collaborate on information barriers, data governance, privacy, records management, cybersecurity, and access controls for information used by or generated through AI solutions.
• Build cross-functional relationships and advise stakeholders on AI governance processes, risk assessments, project deliverables, and control requirements.
• Support AI governance committees and forums by preparing risk analyses, decision materials, metrics, issue updates, and recommendations; provide constructive challenge and support training, guidance, communications, and awareness activities.
• Develop and manage applicable AI product and use-case inventories and execute the ERM product risk review program for AI-enabled capabilities.
• Support government programs, regulatory initiatives, special projects, new risk programs, and risk matters related to acquisitions, investments, or partnerships involving AI capabilities.
• Perform additional responsibilities as assigned by line-of-business, functional, Business Controls, or Risk leadership.

Benefits

• Comprehensive benefits programs designed to support employees' and families' physical, financial, emotional, and social well-being.
• Eligibility to participate in an incentive compensation plan, with payment based on company, line-of-business, and/or individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior