Data and AI Engineering/Senior Associate Director, Data and Analytics

Ready to shape secure AI and data platforms at enterprise scale?

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 Opportunity

HSBC is seeking a Senior Associate Director, Data and Analytics to set technical direction across AI, data and engineering solutions that deliver measurable business value. The role spans strategy, delivery and governance across platforms and products in a highly regulated environment. You’ll establish technical standards and architecture principles that support secure, scalable and reliable systems. Working closely with senior management, product owners and business stakeholders you’ll align technology choices to strategic priorities and outcomes. Success means stronger engineering and delivery practices, well-governed data and AI solutions and consistent compliance with internal standards and external regulations.

What you'll be doing

• Own the design, delivery and governance of AI, data and engineering solutions that create measurable business value
• Define and implement technical strategy for AI, software engineering and data platforms across the organisation
• Set technical standards, architecture principles and best practices across AI model development, data governance and secure system design
• Guide engineers, data specialists and AI practitioners to strengthen technical practice and delivery culture
• Solve complex cross-domain problems spanning applications, infrastructure, data pipelines and AI systems
• Partner with senior management, product owners and business stakeholders to align technology choices with strategic priorities and business outcomes
• Review system, data and AI designs to ensure they are secure, scalable, reliable and compliant with internal and external standards
• Embed compliance with GCIO standards, enterprise architecture principles and banking regulations across engineering, AI and data delivery
• Advance adoption of emerging capabilities in AI, machine learning, data engineering, analytics and cloud platforms to improve productivity and customer value
• Coordinate across engineering, data, cyber security, risk and operations teams to deliver resilient, governed and high-quality solutions

What we're looking for

• Bring extensive experience in senior engineering roles delivering AI, data or modern software platforms
• Demonstrate deep expertise across software engineering, cloud architecture, AI/ML, data engineering, analytics and system design
• Show proven experience building large-scale, secure and resilient systems in financial services or another highly regulated sector
• Evidence experience setting technical strategy, governing architecture and delivering engineering transformation
• Demonstrate delivery of complex technical programmes across multidisciplinary engineering, data and AI teams
• Apply strong problem-solving across system-wide, cross-functional and high-complexity topics
• Communicate technical, data and AI concepts clearly to both technical and non-technical stakeholders
• Operate effectively within strict governance, security and control requirements in regulated environments
• Stay hands-on through code reviews, evaluation of AI tools and testing of data-driven solutions
• Apply strong understanding of data quality, data lineage, AI risk, model governance, security and compliance in a banking context

Building trusted AI and data platforms

This is a chance to set direction for enterprise platforms that underpin how HSBC builds and governs AI and data solutions. You’ll shape standards, influence technology decisions and help teams deliver secure, compliant outcomes that stand up to scrutiny. If you want your work to translate into practical improvements in productivity and customer value this role offers the scope to do it. Apply to help strengthen the foundations for responsible AI and data innovation at scale.