Data Technology Leadership

Data Technology Leadership (42825)

GCB 4

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The role holder will play a critical role in uplifting and strengthening the MENAT data technology and establishing a Guangzhou-based China engineering team to support MENAT build and run.

You’ll drive engineering excellence, platform resilience, and secure-by-design delivery aligned to Group data standards, Data Future State Architecture (FSA) and the Digital Acceleration Programme (DAP), partnering closely with architecture, cyber security, service management, and MENAT market stakeholders.

Duties & Responsibilities:

• Lead from the front and demonstrate excellence in owning the end-to-end delivery of software from analysis through to release to production and support.
• Enforce and monitor engineering standards across MENAT market (architecture, DevOps, security, quality, observability), ensuring consistency of application and data platform services.
• Accountable for controls and compliance across the engineering lifecycle, including data controls, auditability, and operational resilience.
• Mature advanced data capabilities and promote innovation, driving adoption of cutting-edge specialist technologies and practices (including GenAI, modern data/streaming, and cloud-native patterns).
• Lead and develop engineers, provide technical direction, make key technology decisions, and build strong data engineering capability while ensuring platform resilience.
• Partner across Architecture, application teams, Infrastructure, GCS and business to deliver end-to-end platform capabilities including data processing, analytics and visualization solutions, aligned to the Data Future State Architecture.
• Support establishing and scaling a Guangzhou engineering team (operating model, roles, onboarding, ways of working) to support MENAT delivery and operations.
• Ensure a strong cross-location collaboration model (ceremonies, documentation standards, escalation paths, time-zone friendly working).
• Support the enhancement of the operational health outcomes: incident reduction, problem management, operational readiness, runbooks, SLAs/SLOs, and root-cause remediation.
• Ensure adherence to risk and control requirements; maintain audit-ready evidence and strong change governance.
• Provide transparent reporting on delivery, capacity, risks/dependencies, quality, and stability; drive timely decisions and trade-offs with stakeholders.
• Support CTB/RTB planning and forecasting; identify TCO optimization opportunities through automation and simplification.

 Experience & Qualifications:

• A graduation degree is essential for obtaining a UAE visa and work permit. If your university certificate is from outside the UAE, up-to-date attestations and equivalency are also mandatory (Recognition of Higher Education Qualifications Issued Outside The UAE)
• Proven experience leading multi-disciplinary teams in a large, regulated environment (financial services preferred).
• Strong people leadership: hiring, coaching, performance management, and building inclusive teams across locations/time zones.
• Strong stakeholder management and communication skills; able to translate complex engineering topics into clear options and decisions.
• Track record improving platform resilience and operational outcomes (e.g., incident reduction, MTTR, observability)
• Strong technical knowledge of data platforms, data architecture and data tooling, with practical understanding of HSBC structure and how technology operates in a global bank.
• Hands-on experience with cloud-based data ecosystems (e.g., GCP, databases; exposure to AWS), plus scripting/programming in Python and/or Java.
• Deep knowledge of modern data technologies across Hadoop and public cloud (GCP & AWS) including CDC, Kafka, Spark (streaming & batch), Kinesis, distributed stores (HBase, Hive, Presto) and file systems (S3/HDFS).
• Proven experience designing/building distributed, service-oriented, microservices and cloud-based architectures, including APIs and enterprise integration patterns.
• Broad familiarity with Big Data, Hadoop, Spark, BI, ETL, DB2, Oracle, Java, and cloud including GCP and private cloud.
• Strong DevOps and container capabilities: Jenkins, Ansible, Terraform, SonarQube, and Kubernetes/Docker (incl. GKE).

For further details and application information please visit our careers site, searching for the reference number.

We support our staff to adopt flexible and alternative ways of working where possible, including working from home and different hours subject to approvals.

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Issued by The Hong Kong and Shanghai Banking Corporation Limited