Associate Director, Data and Analytics

HSBC
Guangzhou
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder management","Mentoring","Leadership","Innovation","Communication"]

Lead the end-to-end design and delivery of Decision Hub capabilities across eligibility, arbitration, offering services, monitoring, and APIs. Drive AI-assisted development and integrate generative AI and adaptive models into core platform capabilities. Partner with Product, Solution Architecture, Data, and Security to meet regulatory controls, data lineage, and auditability, while owning performance, scalability, resilience, and high-quality engineering practices.

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FursaFursa
HSBC
HSBC
2 months ago

Associate Director, Data and Analytics

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Lead the end-to-end design and delivery of Decision Hub capabilities across eligibility, arbitration, offering services, monitoring, and APIs. Drive AI-assisted development and integrate generative AI and adaptive models into core platform capabilities. Partner with Product, Solution Architecture, Data, and Security to meet regulatory controls, data lineage, and auditability, while owning performance, scalability, resilience, and high-quality engineering practices.
Location: Guangzhou
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Director level

Key Responsibilities

  • •Own the end-to-end technical design and delivery of Decision Hub capabilities, including eligibility, arbitration, offering services, monitoring, and APIs.
  • •Champion AI-assisted development practices (e.g., GitHub Copilot and generative AI for code/test generation) to accelerate delivery and improve code quality.
  • •Integrate generative AI, adaptive models, and emerging AI technologies into platform core capabilities beyond traditional ML models.
  • •Collaborate with Product, Solution Architecture, Data, and Security to ensure compliance with regulatory controls, data lineage, and auditability.
  • •Drive performance, scalability, and resilience design through capacity/performance testing and production dry runs; lead technical design/code reviews and coach engineering capability.

Key Requirements

  • •8+ years in software engineering with 3+ years in technical lead or architect roles on distributed, real-time systems.
  • •Experience designing and delivering decisioning, orchestration, or real-time personalization platforms (or large-scale event/streaming systems).
  • •Strong cloud design and development experience (GCP preferred; AWS/Azure acceptable) with multi-cloud/on-prem tradeoffs.
  • •End-to-end MLOps experience, from model integration and deployment to performance monitoring and feedback loops.
  • •Hands-on modern engineering practices including microservices, APIs, CI/CD, infra as code, automated testing, and security controls.
Skills:Stakeholder managementMentoringLeadershipInnovationCommunication
Tech Stack:GCPAWSAzureGitHub CopilotCodeWhispererGenerative AIMLOpsAPIsMicroservicesCI/CDInfra as codeObservabilityAPMMetricsTracingAlertingAutomated testing

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn