HSBC Group

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Our GCIO organisation plays a critical role for the bank. This team partners with the businesses to build the platforms, systems, and products that our customers use every day. We keep people’s money and data safe, and are at the forefront of driving innovation for our businesses, customers, and colleagues. As a part of the technology organisation, the HSBC Emerging Technology, Innovation and Ventures team is a dedicated group of technologists, scientists, and venture capitalists focused on emerging trends that will help HSBC deliver world-class, digital-first banking across our global network.

We are currently seeking a high calibre professional to join our team as a Director AI Commercialisation.

About the Role:

We are seeking a highly capable and motivated individual to join HSBCs Group AI function. This individual will act as a bridge between cutting-edge AI/ML capabilities and real-world business applications, with the responsibility of driving the identification, development, and delivery of AI-powered efficiency and innovation opportunities across the business.

Leading a team of AI Commercialisation resource, you will partner with business units and functions to uncover use cases, pilot solutions, and scale impactful AI initiatives. The role also involves forming and managing partnerships with third-party providers to accelerate AI adoption and ensure access to best-in-class technology. The ideal candidate will have a deep understanding of the AI/ML landscape, solid experience in financial services, and a proven ability to support and scale AI-driven process transformation in complex, regulated environments.

Key Responsibilities:

• Business Integration:
  Deploy into key business units to identify, shape, and drive AI/ML-enabled process redesign initiatives.
• Technology Translation:
  Translate business problems into AI/ML use cases and ensure the solutions are feasible, scalable, and aligned with the latest technological advancements.
• Solution Development & Testing:
  Collaborate with data scientists, engineers, and product owners to develop, test, and validate AI/ML models and applications.  Assess internal processes and data to pinpoint areas where AI can drive measurable improvements.
• Governance & Risk Management:
  Lead the prioritisation, preparation and submission of models and AI solutions through internal governance processes. Ensure solutions meet ethical, regulatory, and operational risk standards.
• Scalable Delivery:
  Design for safe, sustainable, and scalable deployment of AI/ML capabilities within production environments, with attention to control frameworks and long-term maintenance.
• Stakeholder Engagement:
  Work closely with senior stakeholders in technology, risk, compliance, operations, and business lines to build understanding, secure approvals, and support and report on implementation.
• Thought Leadership:
  Act as an internal expert on AI/ML trends, regulatory developments, and best practices in AI deployment within financial services.

Key Requirements:

• Experience and Knowledge:
  • Extensive years of experience in AI/ML solution delivery or product development, ideally within regulated industries.
  • Significant years of experience in financial services, consulting, or technology with a focus on innovation or transformation.
  • Strong understanding of financial services processes and operational challenges.
• Technical Understanding:
  • Deep knowledge of the AI/ML ecosystem, including recent advancements in foundation models, generative AI, NLP, and traditional ML.
  • Familiarity with model development lifecycle, MLOps, data governance, and responsible AI principles.
• Business Acumen:
  • Proven ability to identify impactful use cases and align AI solutions with business strategy and KPIs.
• Governance & Risk Awareness:
  • Experience navigating model governance, risk, and compliance processes in a banking context.
• Soft Skills:
  • Strong communication, stakeholder management, and influencing skills.
  • Adaptable, pragmatic, and delivery-focused mindset.

Preferred Qualifications:

• Degree in Computer Science, Engineering, Data Science, Finance, or a related field.
• Advanced degree (MSc/PhD) or certifications in AI/ML or data science is a plus.
• Experience with cloud-based AI platforms.
• Familiarity with regulatory frameworks on AI in financial services (e.g., EU AI Act, UK PRA/FCA guidance).

What We Offer:

• The opportunity to be at the forefront of AI innovation in a global banking environment.
• Cross-functional exposure and the ability to shape the future of financial services through responsible AI.
• A supportive, forward-thinking team culture, with access to cutting-edge tools, partners, and platforms.

Opening up a world of opportunity
http://www.hsbc.com/careers

HSBC is 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. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.