HSBC Global Services Limited
AI for Technology Operations Lead
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Ready to turn AI experimentation into auditable Technology Operations outcomes?
Why HSBC
HSBC is one of the largest banking and financial services organisations in the world. Guided by our purpose of opening up a world of opportunity, our ambition is to become the world’s most trusted bank globally, putting customers at the heart of everything we do.
The Role
AI 4 Technology sits within the Chief Technology Office (CTO) and is responsible for the strategy and responsible adoption of artificial intelligence across HSBC’s technology environment. As AI for Technology Operations Lead (Director level role), you’ll own the strategy, adoption and governance of AI across Technology Operations, improving governance flow plus effectiveness and efficiency. This is a newly created GCB3 role within CTO Platforms - AI 4 Tech, based in London with direct reports. You’ll align multiple initiatives into a coherent programme, setting the operating model and foundations needed for responsible adoption of AI within Technology Operations in a regulated environment. The focus is on measurable outcomes across service resilience, operational efficiency and technology delivery - supported by clear assurance, controls and monitoring. Success means scaling high-impact solutions while keeping the engineering standards, architecture and governance strong enough to stand up to audit and regulatory scrutiny.
What you'll be doing
- Set the strategy for AI adoption and governance across Technology Operations, improving governance flow, effectiveness and efficiency
- Consolidate duplicated and competing AI initiatives into a single, coherent programme with clear investment priorities and delivery roadmaps
- Shape sustainable AI-powered operating models that support HSBC’s long-term technology transformation ambitions
- Establish governance, assurance, control and model-monitoring frameworks that enable responsible and auditable adoption in a regulated environment
- Build and manage multidisciplinary teams of AI specialists, data scientists, engineers, architects and operational SMEs including developing talent through coaching and career pathways
- Manage Enterprise Architecture across multiple domain areas to deliver programme outcomes without creating avoidable technical debt
- Set engineering standards for the development, testing, deployment, monitoring and retirement of AI solutions including effective MLOps practices
- Govern technology suppliers and delivery partners with accountability for value, quality and control effectiveness
- Translate complex technical concepts into clear decisions, outcomes and recommendations for senior stakeholders
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What we're looking for
- Bring senior leadership experience in banking, financial services or another highly regulated industry
- Demonstrate proven delivery of enterprise-scale technology transformation and organisational change
- Show experience defining and executing AI strategy, investment priorities and delivery roadmaps across complex stakeholder groups
- Apply strong practical knowledge of AIOps, MLOps, machine learning, Generative AI, large language models and AI agents
- Demonstrate a strong understanding of technology operations, operational resilience and technology risk
- Establish AI governance, assurance, control and model-monitoring frameworks that support safe adoption and audit scrutiny
- Bring familiarity with cloud platforms, observability tooling, automation frameworks and platform engineering
- Build and run multidisciplinary teams across engineering, architecture, data and operations, with a demonstrable commitment to inclusive talent development
- Govern technology suppliers and delivery partners, coordinating effectively across Technology, Data, Cybersecurity, Risk and business teams
- Communicate effectively at executive level, translating complex technical topics into clear decisions, outcomes and recommendations
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Shaping responsible AI at scale
This Director level role gives you the scope to build a coordinated, enterprise-wide approach to AI adoption across HSBC’s internal Technology organisation. The work is about making Technology cheaper, faster, safer and more efficient, while keeping adoption responsible, auditable and aligned with regulatory and risk requirements. You’ll balance early value with the foundations needed for sustainable scale - governance, controls, monitoring, engineering standards and a clear operating model. If you want to turn promising AI activity into repeatable outcomes across Technology Operations, this role offers the remit to make it happen.
Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via hsbc.recruitment@hsbc.com.
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