Tech Risk and Controls Lead - Data Technology

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 Employee Platforms and Data Platforms and AI, you will be responsible for 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, Auditors, 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 within 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.
• Partners effectively with stakeholders to translate goals into plans, drive accountability, and execute to completion.
• Experienced in assessing operational, technology and compliance risks and recommending appropriate control enhancements.
• Define and maintain a control inventory mapped to common data risks.
• Promotes reuse-first, AI-assisted approaches to streamline recurring control testing and issue/action-plan management routines, ensuring human review and alignment to auditability and regulatory expectations.

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in technology risk management, cybersecurity, or a related field, with a focus on regulatory compliance and risk mitigation.
• Demonstrated 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.
• 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.
• Familiarity with risk management frameworks, industry standards, and financial industry regulatory requirements.
• 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.
• Demonstrated ability to influence executive-level strategic decision-making and translating technology insights into business strategies for senior executives
• Data Informed, Strategic and execution-oriented.

Preferred qualifications, capabilities, and skills

• CISM, CRISC, CISSP or similar industry-recognized risk and risk certifications are preferred.
• Experience in managing technology controls in a data focused organization.
• Experience in performing detailed risk and control assessments for AI systems.
• Familiarity with Data Technology solutions.
• Experience with global regulatory and local data localization requirements.