Team Lead, VP, Application Support Engineer
Indexed description
Principal Responsibilities
- Define and execute China Middle Office Technology (MOT) roadmap aligned with business, regulatory and Group priorities.
- Lead end-to-end delivery of local Regulatory Reporting, Data and Transformation programs.
- Ensure existing MOT applications stability, resiliency, security and compliance through effective governance and risk management.
- Provide technical leadership on solution architecture, modernization, automation and uplift initiatives. Lead and develop a high-performing team while fostering accountability, innovation and continuous improvement.
- Make sound technology decisions balancing business value, risk, scalability, maintainability and cost.
- Build trusted relationships with business, operations, risk, compliance and Group Technology stakeholders.
- Drive AI-enabled engineering practices and build an AI-ready organization.
- Bachelor degree or above in Computer Science, Engineering, IT or related discipline.
- 15+ years technology experience in Banking, Financial Services or FinTech.
- Minimum 10 years hands-on experience designing, building and delivering enterprise banking applications.
- Minimum 8 years leadership experience managing medium-to-large technology teams.
- Proven delivery of large-scale business, regulatory, data and technology transformation programs.
- Strong experience in architecture governance, solution evaluation and technical decision-making.
- Experience in data platforms, regulatory reporting, big data, cloud or modernization programs.
- Demonstrated application of AI/GenAI to improve productivity, delivery or operational outcomes.
- Excellent stakeholder management and communication skills.
- Strong leadership presence with the ability to inspire, influence, and drive outcomes.
- Outstanding stakeholder management and relationship-building capability.
- Positive, resilient, and delivery-oriented mindset.
- Strong ownership, accountability, and people development capability.
- Deep understanding of enterprise application architecture, system integration, distributed systems, and modern software engineering practices.
- Ability to provide sound technical judgment, challenge assumptions, evaluate alternatives, and determine the most appropriate technology solutions and implementation approach.
- Strong understanding of cloud-native architecture, microservices, APIs, platform resiliency, security, and operational excellence.
- Practical experience with software development, application support, and large-scale technology transformation.
- Good understanding of enterprise data architecture, regulatory data platforms, and big data ecosystems.
- Experience with technologies such as Hadoop, Spark, Kafka, Data Lake, Data Warehouse, Metadata Management, and modern analytics platforms.
- Proven knowledge and practical application of AI, Generative AI, and AI-assisted engineering practices.
- Ability to identify, evaluate, and implement AI opportunities that improve productivity, quality, customer outcomes, and operational efficiency.
- Capability to establish AI-ready teams through skills development, governance, and adoption of AI-driven ways of working
Job:
Technology
Schedule:
Regular
Employee Status:
Full time
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