Associate Director - CIB Business Risk - AI Governance Lead

Job title: Associate Director - CIB Business Risk - AI Governance Lead As Associate Director, CIB Business Risk, AI Governance, within the Risk Capability Office, youll lead and shape global AI governance and risk reviews for Corporate and Institutional Banking. Youll act as a subject matter expert in overseeing risk assessments and be an enabler in ensuring that all CIB Generative AI use cases are progressed through their life cycle in a safe, sustainable method. The role requires confident engagement with senior stakeholders (GCB 3 and above), strong programme management discipline, and the ability to influence across multiple regions and functions. In this role, you will: Lead the CIB AI governance agenda for all CIB globally, ensuring consistent standards and controls across regions. Define and maintain governance processes for all CIB AI use cases (intake, risk assessment, approvals, oversight, monitoring, issues and lessons learned). Provide advisory to use cases on how to what requirements they will need throughout their lifecycle, both at BAU but also via the established processes for Governance helping them navigate various systems, for various risk assessments and ensuring they are aware of the latest requirements Regularly update the governance requirements as new regulations/requirements are rolled out to ensure adherence Consistently aim to simplify, and create efficiencies in processes to ensure use cases are not burdened with duplication while ensuring risk reviews are performed to the highest standard Provide credible challenge and risk advice to senior stakeholders on AI initiatives, including key risks such as data quality, privacy, security, resilience, third-party dependency, and customer impact. Establish clear roles and responsibilities across the AI lifecycle, ensuring appropriate human oversight and decision-making. Develop and deliver governance forums, steering routines and reporting, ensuring decisions are documented and actions are tracked to completion. Design and track key risk indicators and management information for AI, escalating emerging risks and control gaps with practical remediation plans. Partner with Technology, Data, Compliance, Legal and Operations to embed responsible AI practices into delivery and run processes. Support internal reviews, audits and regulatory engagements related to AI governance, ensuring timely responses and sustainable remediation. Contribute to capability building across Risk and the business through guidance, playbooks and targeted training on AI risk and governance. Stay current on AI and fintech developments and translate external trends into improvements to governance and controls. To be successful you will: Proven experience in technology risk governance, business risk management or operational resilience governance and running/owning senior governance intiatives Strong understanding of AI/ML concepts and common risk themes Demonstrated ability to influence and face off with senior stakeholders, providing clear, constructive challenge and pragmatic solutions. Strong programme and stakeholder management skills, with experience delivering outcomes across multiple teams, geographies and priorities. Excellent communication skills (written and verbal), able to translate complex technical topics into clear business and risk decisions. Sound judgement, high integrity, and a track record of taking accountability for risk outcomes. Degree-level education (or equivalent experience) in a relevant discipline (e.g., risk, technology, data, engineering, mathematics, or similar). What additional skills will be good to have Experience implementing or operating AI governance frameworks, responsible AI practices, or AI risk controls at scale. Familiarity with model risk management and validation concepts, including monitoring and performance management. Knowledge of data governance, privacy, information security, and third-party/outsourcing risk as they relate to AI solutions. Exposure to regulatory expectations and industry standards relevant to AI and model governance. Certifications (desirable): Project/Delivery: PMP, PRINCE2, Agile certifications AI Governance certifications Cloud/Tech (relevant): AWS/Azure/GCP fundamentals or practitioner-level certifications Experience working in global, matrixed organisations with cross-cultural stakeholder groups. Hsbc.com/careers Youll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual .