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Salary
≈ $53k – $117k per year (Estimated)
Location
In office (Guangzhou)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 7, 2026. HSBC scores A on the Alion truth index.

Overview
Company
Impact
Profile match
HSBC is a global banking and financial services group headquartered in London, England, whose holding company HSBC Holdings plc serves personal, wealth, commercial and investment banking customers through businesses in Asia, Europe, the Middle East and the Americas. Established in 1865 to finance trade between Europe and Asia, it is listed in London, Hong Kong and New York and runs subsidiaries such as HSBC Qianhai Securities in Shenzhen and large service centres in India, Poland, Malaysia and Mexico. It hires relationship and premier financial managers, sales and call centre advisers, business analysts, QA managers, developers, underwriters and leveraged finance associates.

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.

We are currently seeking an experienced professional to join our team in the role ofSr. Associate Director, Software Engineering.

Business:CIB Technology

Job ID:62635

Principal responsibilities

Technology leadership for the Client Distribution pillar

  • Lead the end-to-end technology agenda for the Client Distribution pillar within DSG.
  • Translate business and product strategy into a clear technology roadmap and execution plan.
  • Partner with the Business Lead and Product Owner Lead to define priorities, sequencing, and delivery outcomes.
  • Ensure technology decisions support the pillar strategy, client experience goals, and long-term platform scalability.
  • Position AI Markets effectively as the digital distribution front door for DSG, ensuring the underlying technology supports a seamless, scalable, and differentiated client experience.
  • Represent the pillar in DSG-wide technology planning, governance, and prioritisation forums.

AI-enabled platform and digital capability leadership

  • Provide technology leadership for AI-enabled client distribution capabilities, including intelligent workflows, digital content delivery, data-driven services, and agentic or assisted user experiences where relevant.
  • Ensure AI capabilities are implemented in a way that is scalable, supportable, explainable where needed, and aligned with business value.
  • Partner with product, engineering, and control stakeholders to embed AI responsibly into client-facing workflows and services.
  • Bring sufficient understanding of AI/LLM-enabled platforms, orchestration patterns, and operational considerations to guide design decisions and delivery trade-offs.
  • Ensure AI-enabled solutions are integrated into the broader digital platform architecture rather than developed as isolated point solutions.

Delivery and execution

  • Own technology delivery across the Client Distribution portfolio, ensuring execution against committed outcomes, timelines, and quality standards.
  • Drive coordinated delivery across engineering teams, platform teams, architecture, control functions, and dependent pillars.
  • Ensure delivery is pragmatic, transparent, and aligned to business value.
  • Manage delivery risks, dependencies, and trade-offs across a complex stakeholder landscape.
  • Promote disciplined execution, clear accountability, and strong delivery governance.

Platform, architecture, and engineering direction

  • Shape the target technology architecture for Client Distribution in alignment with DSG and enterprise direction.
  • Ensure solutions are scalable, resilient, secure, and reusable where appropriate.
  • Drive engineering quality, technical consistency, and sound lifecycle management across the pillar.
  • Partner with horizontal pillars and shared platform teams to leverage common capabilities and avoid fragmented solutions.
  • Support modernisation of client-facing platforms, APIs, workflow services, and digital channel capabilities.
  • Ensure AI and digital distribution capabilities are built on strong platform foundations with appropriate observability, supportability, and lifecycle controls.

Production stability and operational readiness

  • Be accountable for the operational health and production readiness of technology services within the pillar.
  • Ensure appropriate support models, monitoring, controls, resilience, and incident management disciplines are in place.
  • Drive continuous improvement in platform stability, service quality, and operational maturity.
  • Ensure new capabilities are production-ready and supported by appropriate runbooks, controls, and service ownership.
  • Oversee remediation of production issues and structural improvements to reduce recurring incidents.

Governance, risk, and control

  • Ensure the pillar operates within appropriate technology governance, risk, and control frameworks.
  • Bring a strong control mindset to all aspects of delivery and platform management, particularly for client-facing and AI-enabled capabilities.
  • Ensure solutions are designed and operated with appropriate controls around data usage, access, model governance, resilience, auditability, and change management.
  • Partner closely with control, risk, cybersecurity, architecture, and governance teams to ensure solutions are well-managed and sustainable at scale.
  • Support effective management of audit, security, resilience, and regulatory expectations relevant to the platform estate.
  • Drive disciplined change management, release governance, and lifecycle controls across the pillar.

Stakeholder management and organisational leadership

  • Build strong partnerships across business, product, engineering, infrastructure, cybersecurity, architecture, and control teams.
  • Provide clear leadership communication on strategy, delivery progress, risks, and decisions.
  • Align stakeholders across competing priorities while maintaining focus on pillar outcomes.
  • Contribute to DSG leadership discussions on technology direction, operating model, and execution priorities.
  • Act as a senior technology leader for the pillar, fostering collaboration, accountability, and high standards.

People and team leadership

  • Lead and develop technology teams aligned to the Client Distribution pillar.
  • Set clear expectations on engineering quality, ownership, delivery discipline, and collaboration.
  • Build a strong leadership culture focused on execution, resilience, continuous improvement, and control awareness.
  • Support organisation design, capability build-out, and talent development as the pillar evolves.

Scope of the pillar

  • The Client Distribution pillar supports digital client channels and services across institutional and corporate client workflows, including:
  • Sophisticated pre-trade workflows
  • Pricing and execution
  • Post-trade and chat-enabled workflows
  • Channels including web, mobile, chat, and API-based distribution
  • Content and services including platform-based data feeds, risk services, AI Markets Premium, and data / AI-enabled / agentic workflows and services
  • AI Markets is a core part of this pillar as the distribution front door for DSG, providing a unified digital entry point for client and user interaction with DSG capabilities.

Knowledge & Experience / Qualifications

Experience

  • Significant experience in senior technology leadership roles within digital platforms, electronic channels, or client-facing enterprise technology.
  • Proven track record leading complex technology delivery across multiple teams and stakeholders.
  • Experience owning large-scale platforms or product-aligned technology domains with both build and run accountability.
  • Strong experience in managing technology strategy, architecture direction, and execution in a controlled enterprise environment.
  • Experience working closely with business and product leadership in a high-demand delivery setting.
  • Experience with AI-enabled products, intelligent workflow platforms, or data-driven digital capabilities in an enterprise setting is strongly preferred.

Skills and capabilities

  • Strong strategic thinking combined with practical delivery focus.
  • Ability to lead across architecture, engineering, delivery, production support, and control dimensions.
  • Good understanding of AI/LLM-enabled solutions and the practical considerations for deploying them in production environments.
  • Strong stakeholder management and influencing capability across senior business and technology audiences.
  • Strong judgment in balancing pace, innovation, control, resilience, and long-term sustainability.
  • Excellent communication skills, with the ability to simplify complex technology topics for varied audiences.
  • Strong leadership presence, with the ability to align teams around clear outcomes and standards.
  • Strong risk and control awareness, particularly in relation to client-facing platforms, data usage, and AI-enabled services.

Technical / domain familiarity

  • Good understanding of digital channels, APIs, workflow platforms, and client-facing technology ecosystems.
  • Familiarity with AI-enabled application patterns, orchestration layers, model integration considerations, and operational support requirements.
  • Familiarity with modern engineering practices, platform design, resilience, observability, and service operations.
  • Understanding of enterprise governance, security, risk, and control expectations.
  • Experience working in environments requiring strong coordination across shared services and platform dependencies.

Preferred qualities

  • Strong ownership mindset with end-to-end accountability.
  • Able to operate effectively across strategy, execution, and operational detail.
  • Collaborative, pragmatic, and outcome-oriented.
  • Comfortable leading through complexity, ambiguity, and organisational change.
  • Focused on building scalable and sustainable technology foundations, not just short-term delivery.
  • Brings balanced judgment on innovation, AI adoption, and control requirements.

Success measures

  • Clear and credible technology roadmap for the Client Distribution pillar.
  • Strong delivery performance against strategic priorities and business outcomes.
  • Effective positioning of AI Markets as a scalable and trusted distribution front door for DSG.
  • Improved platform scalability, resilience, and operational maturity.
  • Strong governance, risk management, and control discipline across the pillar.
  • Responsible and effective adoption of AI-enabled capabilities within client distribution services.
  • A high-performing technology organisation with clear accountability and execution focus.

/51/LP/WX

About HSBC Technology China

We develop, implement and support software and IT services and processes that allow HSBC to remain at the forefront of high-quality banking systems.

You’ll achieve more when you join 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 orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

***Issued By HSBC Software Development (GuangDong) Limited***

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