Sr. Associate Director, Data and Analytics (Guangzhou, GD, CN, 510620)

HSBC
Guangzhou
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder management","Data governance","Problem-solving","Quality focus","Continuous improvement"]

Build and operate governed structured and unstructured data pipelines that power KYC, credit, portfolio risk, and AI retrieval. Develop embedding/vector pipelines with reliable refresh/deletion strategies, and implement data quality, observability, lineage, privacy-by-design, and dataset versioning for auditability. Partner with agent engineers and stakeholders to define requirements and feedback loops, and support production operations and continuous improvements of AI-powered data services.

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FursaFursa
HSBC
HSBC
1 day ago

Sr. Associate Director, Data and Analytics (Guangzhou, GD, CN, 510620)

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Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build and operate governed structured and unstructured data pipelines that power KYC, credit, portfolio risk, and AI retrieval. Develop embedding/vector pipelines with reliable refresh/deletion strategies, and implement data quality, observability, lineage, privacy-by-design, and dataset versioning for auditability. Partner with agent engineers and stakeholders to define requirements and feedback loops, and support production operations and continuous improvements of AI-powered data services.
Location: Guangzhou
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Director level

Key Responsibilities

  • •Build and operate pipelines for structured domain data including onboarding, customer/entity, credit facilities/exposures, limits, risk grades, and portfolio hierarchies.
  • •Build unstructured data pipelines for domain documents with parsing, metadata enrichment, deduplication, and retention handling.
  • •Develop embedding/vectorisation pipelines and manage vector indices with refresh and deletion strategies aligned to data governance.
  • •Implement data quality, observability, and lineage including automated testing, SLAs, anomaly detection, monitoring, and runbooks.
  • •Partner with agent engineers and stakeholders to define data requirements and evaluation datasets and close feedback loops from production retrieval and agent performance.

Key Requirements

  • •Deliver reliable, fresh, well-governed datasets and indices used by KYC, credit, and portfolio AI solutions.
  • •Improve retrieval relevance and grounding by strengthening metadata, chunking inputs, and data quality.
  • •Reduce operational incidents with strong testing, monitoring, and disciplined change management.
  • •Enable reproducible and auditable AI datasets to support reviews and control expectations.
Experience:Data engineeringAIKYCCreditRisk
Skills:Stakeholder managementData governanceProblem-solvingQuality focusContinuous improvement

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