Tech Risk and Controls Lead - AI4Tech

Join our team to play a pivotal role in mitigating tech risks and upholding operational excellence, driving innovation in risk management. As a Tech Risk & Controls Lead in Chief Technology Officer - Operational Execution and Governance - Risk, Control and Regulatory team, you will be responsible for supporting AI4Tech - advanced AI solutions, identifying, and mitigating compliance and operational risks in line with the firm's standards. You will also provide subject matter expertise and technical guidance to technology-aligned process owners, ensuring that implemented controls are operating effectively and in compliance with regulatory, legal, and industry standards. By partnering with various stakeholders, including Product Owners, Business Control Managers, and Regulators, you will contribute to the reporting of a comprehensive view of technology risk posture and its impact on the business. Your advanced knowledge of risk management principles, practices, and theories will enable you to drive innovative solutions and effectively manage a diverse team in a dynamic and evolving risk landscape. Job responsibilities Ensure effective identification, quantification, communication, and management of technology risk, focusing on root cause analysis and resolution recommendations Uses enterprise-authorized AI capabilities with the work environment to accelerate synthesis of risk/control evidence and draft executive-ready reporting, validating outputs, and handling data according to sensitivity and security requirements Develop and maintain robust relationships, becoming a trusted partner with LOB technologists, assessments teams, and data officers to facilitate cross-functional collaboration and progress toward shared goals Execute reporting and governance of controls, policies, issue management, and measurements, offering senior management insights into control effectiveness and inform governance work Proactively monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance Promotes reuse-first, AI-assisted approaches to streamline reoccurring control testing and issue/action-plan management routines, ensuring human review and alignment to auditability and regulatory expectations Demonstrate proficiency in the end to end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutins are scalable and aligned with the business objectives Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in technology risk management, information security, or related field, emphasizing risk identification, assessment, and mitigation Proficient knowledge and expertise in data security, risk assessment & reporting, control evaluation, design, and governance, with a proven record of implementing effective risk mitigation strategies Demonstrate experience using enterprise-authorized AI capabilities within the work environment to support technology risk and controls workflows with strong validation habits and awareness of data sensitivity Demonstrated ability to influence executive-level strategic decision-making and translating technology insights into business strategies for senior executives Ability to review and validate AI-assisted risk summaries and recommendations before use, escalating when uncertain and ensuring outcomes align to security, auditability and regulatory expectations Demonstrate technical proficiency in AI risk governance, securing platforms, applications, and business processes with deep understanding of AI threats, mitigations, and defense mechanisms. Engage 2nd line of defense to discuss risk posture and to obtain non-objection when required Ability to review and validate AI-assisted risk summaries and recommendations before use, escalating when uncertain and ensuring outcomes align to security, auditbility, and regulatory expectations Coordinate and monitor issue management to ensure timely and sustainable remediation and provide thematic analysis to identify trends Strong understanding of data classification/handling, IAM and entitlement management (least privilege, privileged access reviews), and how to ensure AI tools comply with security and privacy requirements end-to-end Assess and influence technology risk priorities within the book of work that are aligned to control design in the LOB/product roadmap Preferred qualifications, capabilities, and skills Familiarity with risk management frameworks, industry standards, and financial industry regulatory requirements Partner with process owners to respond to internal and external audit and regulatory requests for information Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytical models in a large-scale enterprise environment CISM, CRISC, CISSP, CopmTIA Security+ or similar industry-recognized risk and risk certifications are preferred