Sr. Associate Director, Data and Analytics (Semantics Layer Engineer)

HSBC
Shenzhen
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Governance","Stakeholder management","Documentation","Incident triage","Continuous improvement"]

Design and deliver a governed semantic layer for key onboarding, credit, and portfolio domains, turning business requirements into consistent KPIs, conformed dimensions, and traceable metric lineage. Implement data quality controls and optimize semantic performance and cost. Apply security (RBAC/ABAC) and run production operations for monitoring, CI/CD, incident triage, and continuous improvement—partnering with Data Engineering, product owners, analysts, and risk teams to drive adoption.

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FursaFursa
HSBC
HSBC
18 hours ago

Sr. Associate Director, Data and Analytics (Semantics Layer Engineer)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design and deliver a governed semantic layer for key onboarding, credit, and portfolio domains, turning business requirements into consistent KPIs, conformed dimensions, and traceable metric lineage. Implement data quality controls and optimize semantic performance and cost. Apply security (RBAC/ABAC) and run production operations for monitoring, CI/CD, incident triage, and continuous improvement—partnering with Data Engineering, product owners, analysts, and risk teams to drive adoption.
Location: Shenzhen
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Director level

Key Responsibilities

  • •Design and implement semantic models for onboarding journeys, customer/entity, credit exposures, limits, collateral, risk ratings, portfolio hierarchies, and performance measures.
  • •Translate business requirements into standard measures and conformed dimensions to ensure cross-domain consistency.
  • •Operate the semantic layer in production with CI/CD, monitoring, incident triage, root cause analysis, and continuous improvement.
  • •Optimize semantic performance and cost using appropriate modeling patterns, aggregation strategies, and incremental refresh approaches.
  • •Partner with Data Engineering, Product Owners, Analysts, Risk, and Operations stakeholders to drive adoption and consistent metric usage.

Pay and Benefits

Perks:Flexible Working

Key Requirements

  • •Establish “one agreed definition” for critical onboarding, credit, and portfolio KPIs used across squads.
  • •Define and govern KPI/metrics with clear documentation and lineage, ensuring consistent measures across domains.
  • •Implement data quality and reconciliation controls to ensure metric correctness against source-of-truth platforms.
  • •Maintain a stable, performant semantic layer with strong controls, auditability, and versioned metric definitions.
  • •Apply security controls for sensitive onboarding and credit data, including RBAC/ABAC and row/column-level security.
Experience:Data analyticsData modeling
Skills:GovernanceStakeholder managementDocumentationIncident triageContinuous 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