Join a role that's central to our technological resilience, offering a unique opportunity to shape the firm's tech risk strategy and enhance industry compliance.
As a Tech Risk & Controls Director in Global Standards and Control Lifecycle Management, you will play a pivotal role in shaping and implementing the firm's technology risk management strategy. Leveraging your advanced knowledge and expertise in technology-risk disciplines, you will identify, oversee, and mitigate compliance and operational risks in line with the firm's standards. You will collaborate with various stakeholders, including Product Owners, Business Control Managers, and regulators, to develop and maintain a comprehensive view of the technology risk posture and its impact on the business. Your ability to make calculated decisions, manage large teams, and drive strategic projects will be crucial in ensuring the firm's adherence to regulatory obligations and industry best practices. Your work will contribute to the long-term success and resilience of the organization in an ever-evolving technology landscape.
Job responsibilities
- Develop and implement technology risk management strategies, policies, and processes to identify, assess, and mitigate risks, and drive strategic projects and initiatives to enhance the firm's technology risk management capabilities, in line with industry best practices and the firm's standards and regulatory requirements.
- Sets reuse-first expectations for enterprise-authorized AI adoption within the work environment across technology risk and controls operations to accelerate evidence synthesis, issue analysis, and executive reporting, with human-in-the-loop validation and appropriate handling of sensitive data.
- Identify and escalate emerging and upstream technology risk through execution of the Firm’s management framework tools, including risk event management, reporting, and action plan tracking, and provide expert counsel to stakeholders and constituents regarding their security obligations, facilitating acceptable outcomes
- Establish and maintain strong relationships with internal and external stakeholders, including key cross-functional team leads, regulators, and auditors, to ensure compliance with legal, regulatory, and industry standards
- Manage reporting and governance of overall controls, policies, issue management, and measurements, etc., providing insight to senior leaders into effectiveness of controls and inform governance work.
- Establishes governance standards for AI-assisted workflows used in risk reporting and issue/action-plan management, ensuring traceability/auditability and alignment to security, resiliency, and regulatory expectations.
- Sets reuse-first expectations for enterprise-authorized AI adoption within the work environment across technology risk and controls operations to accelerate evidence synthesis, issue analysis, and executive reporting, with human-in-the-loop validation and appropriate handling of sensitive data.
- Establishes governance standards for AI-assisted workflows used in risk reporting and issue/action-plan management, ensuring traceability/auditability and alignment to security, resiliency, and regulatory expectations
Required qualifications, capabilities, and skills
- Formal training or certification in security concepts, with expert of experience or equivalent expertise in technology risk management, information security, or a related field, with a focus on managing risk identification, assessment, and mitigation.
- Demonstrated expertise in risk management frameworks, industry standards, and regulatory requirements relevant to the financial industry.
- Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment within technology risk and controls workflows, including validation practices and awareness of data sensitivity.
- Ability to define review/approval and escalation expectations for AI-assisted recommendations while maintaining security, auditability, and regulatory compliance outcomes.
- Proven ability to lead large teams, manage cross-functional projects, influence executive-level strategic decision-making, and effectively translate technology insights to business strategy in communications with senior executives.
- Advanced knowledge and experience leading data security, risk assessment & reporting, and control evaluation, design, and governance, with a track record of implementing effective risk mitigation strategies.
- Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment within technology risk and controls workflows, including validation practices and awareness of data sensitivity.
- Ability to define review/approval and escalation expectations for AI-assisted recommendations while maintaining security, auditability, and regulatory compliance outcomes.
Preferred qualifications, capabilities, and skills
- Strong understanding of Software Development Lifecycle
- Strong understanding of financial services
- Experience working on complex cyber security initiatives
- Strong executive reporting and presentation skills.