Technology Risk Management Manager

Key Responsibilities

• Lead and facilitate Technology Risk Assessments (TRAs), including scoping, risk identification, control evaluation, documentation, and clear, proportionate recommendations for remediation or acceptance.

• Support the design, implementation, enhancement, and continuous improvement of technology risk management processes and controls with an initial focus on AI governance.

• Contribute to the development and maintenance of technology risk policies, standards, guidance materials, practice aids, and templates 

• Assess risks associated with Artificial Intelligence (AI), Generative AI, Machine Learning, and other emerging technologies. 

• Lead or support risk reviews of AI-enabled solutions and tools, including use cases, data handling, model or system limitations, human oversight, transparency, security, third-party dependencies, and ongoing monitoring.

• Contribute to the design and operation of AI governance processes and controls, translating responsible AI principles, regulatory expectations, and internal policies into practical review, approval, documentation, escalation, and monitoring requirements.

• Prepare risk reports, dashboards, management information, and metrics for leadership and governance forums 

• Analyse risk trends and identify opportunities to improve risk management practices and operational efficiency. 

• Support initiatives to automate, streamline, and enhance technology risk assessment and reporting processes 

• Assist in special projects, regulatory reviews, and firm-wide risk initiatives as required 

Preferred Knowledge, Skills and Experience

• At least 5 years of relevant experience in technology risk management, Ai governance, IT risk, information security, technology audit, regulatory compliance, enterprise risk management, or related field.

• Working knowledge of AI and modern technology is required. Candidates should understand, at a practical level, how AI and Generative AI solutions are developed, acquired, deployed, and used, as well as the associated risks, limitations, and governance considerations. Deep engineering or coding expertise is not required.

• Knowledge of responsible AI principles and recognised AI risk or governance frameworks, standards, and regulatory developments, with the ability to translate them into practical business requirements and controls.

• An AI governance certification or equivalent professional credential is advantageous but not mandatory

• Strong analytical, problem-solving, project management, and stakeholder management skills. 

• Excellent written and verbal communication skills, with the ability to present complex risk issues clearly to different audiences. 

• Detail-oriented, proactive, and able to manage multiple priorities while delivering high-quality outcomes. 

• Strong interpersonal skills, a collaborative mindset, and the confidence to engage effectively with stakeholders at all levels. 

• Self-motivated with a willingness to learn, adapt, and thrive in a fast-paced environment