Job Description
Bring your perspective to challenges that matter.
About the Role
. Lead independent second-line oversight, challenge, and assurance over Data, Artificial Intelligence, and Emerging Technology risks.
. Ensure risks are identified, assessed, managed, monitored, and reported in line with the risk framework, risk appetite, regulatory requirements, and industry best practices, including acting as a trusted advisor and subject matter expert, while also supporting Group Innovation Office risk oversight.
Roles and Responsibilities:
Data Risk Oversight
. Lead independent second-line oversight, challenge, and assurance over data risk management practices across the Group.
. Assess the effectiveness of governance, controls, and risk management practices relating to data quality, data governance, data lifecycle management, data privacy, data retention, and data usage.
. Provide independent review and challenge of data risk assessments, control effectiveness, and remediation activities.
. Monitor data-related risk exposures and identify emerging themes, systemic weaknesses, and opportunities for risk reduction.
. Evaluate alignment of data management practices with the Group's risk appetite, risk management framework, and regulatory expectations.
Artificial Intelligence (AI) Risk Oversight
. Lead oversight of AI and advanced analytics risks including model governance, AI accountability, human oversight, transparency, explainability, bias management, data lineage, and responsible use.
. Review and challenge AI risk assessments, governance frameworks, controls, and monitoring mechanisms across the AI lifecycle.
. Assess the effectiveness of controls supporting the responsible development, deployment, use, monitoring, and retirement of AI solutions.
. Provide independent oversight of Generative AI and emerging AI capabilities to ensure risks are identified, assessed, monitored, and appropriately managed.
. Monitor evolving regulatory expectations, industry developments, and leading practices relating to AI governance and risk management.
Emerging Technology Risk Oversight
. Lead independent assessment of risks associated with emerging technologies, including cloud-native solutions, digital platforms, automation, distributed technologies, and other evolving technology capabilities.
. Evaluate technology adoption initiatives and transformation programmes to ensure key risks are appropriately identified and managed.
. Support the identification of emerging risk trends and provide forward-looking analysis of potential impacts to the Group.
. Assess potential technology concentrations, dependencies, and strategic risks arising from changing technology landscapes.
Risk Assessments, Assurance & Thematic Reviews
. Lead independent risk assessments, assurance reviews, deep-dive reviews, and thematic examinations across data, AI, and emerging technology risk domains.
. Conduct horizontal reviews and read-across assessments to identify common risk themes, control gaps, and improvement opportunities across business units and technology functions.
. Maintain a structured horizon-scanning process to identify emerging technologies, assess potential risk implications, and provide forward-looking risk insights to senior management.
. Challenge management's remediation plans and verify that corrective actions address root causes and deliver sustainable outcomes.
. Promote lessons learned and good practices to strengthen risk management maturity and control effectiveness.
Strategic Advisory & Governance
. Act as a trusted advisor and subject matter expert on data, AI, and emerging technology risks while maintaining independent second-line oversight responsibilities.
. Provide risk oversight and challenge for strategic programmes involving data transformation, AI adoption, digital innovation, and emerging technology implementation.
. Support governance forums, management committees, and risk committees through clear and evidence-based risk assessments and recommendations.
. Support risk oversight activities relating to Group Information Office.
Risk Reporting & Insights
. Produce high-quality risk insights, thematic analysis, and reporting on data, AI, and emerging technology risks for senior management and governance committees.
. Develop forward-looking views of emerging technology risks and opportunities that may impact the Group's risk profile.
. Monitor key risk indicators, risk trends, industry developments, and external events to support proactive risk management.
. Contribute to the continuous enhancement of technology risk methodologies, assessment tools, and oversight practices.
Stakeholder Management
. Build effective relationships with Technology, Data, AI, Information Security, Operational Risk, Compliance, Legal, Internal Audit, and business stakeholders.
. Influence risk outcomes through constructive challenge, credible advice, and evidence-based recommendations.
. Facilitate consistent application of technology risk management requirements across business units and technology functions.
People Leadership
. Lead, coach, and develop team members to build specialist expertise in data, AI, and emerging technology risk management.
. Promote a culture of accountability, continuous improvement, collaboration, and effective challenge.
. Ensure effective prioritisation, resource management, and capability development to support the team's objectives.
Minimum Job Requirements:
. Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, Information Management, Risk Management, Mathematics, Statistics, or a related discipline.
. Relevant professional certifications in technology risk, governance, audit, data management, or AI governance (e.g., CRISC, CISA, CGEIT, CDMP, AIGP or equivalent) are preferred.
. Minimum 15 years of experience in technology risk management, data governance, data management, AI governance, technology audit, operational risk, or related fields.
. Strong understanding of data governance, data management, information risk management, AI governance, and emerging technology risk management principle within financial services, insurance, banking, or other highly regulated industries.
. Demonstrated experience in second-line risk oversight, assurance reviews, governance, and control assessments.
. Experience managing risks associated with data, analytics, AI, machine learning, cloud technologies, and digital transformation initiatives.
. Strong analytical, critical thinking, and problem-solving capabilities.
. Ability to assess complex technology and business risks and translate them into clear, actionable insights.
. Strong judgement and ability to operate effectively in a rapidly evolving technology environment.
. Experience engaging with senior executives, governance committees, regulators, and external stakeholders.
. Proven people leadership and stakeholder management experience.
More Info
Key Skills
AI Governance
Technology Audit


