AI Analytics Lead

HSBC
Hong Kong
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Collaboration","Strategic thinking","Data-driven decision-making"]

Define and measure how users adopt and engage with AI-enabled tools across HSBC. Build cross-platform analytics for AI-native journeys, translating product goals into measurable diagnostic metrics and behavioral indicators. Design dashboards, data models, and reusable analytics assets, partnering with product, design, engineering, and data teams to align definitions and measurement approaches. Apply advanced analytics and deliver insights that improve workflows, decision-making, and user value.

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FursaFursa
HSBC
HSBC
3 days ago

AI Analytics Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Define and measure how users adopt and engage with AI-enabled tools across HSBC. Build cross-platform analytics for AI-native journeys, translating product goals into measurable diagnostic metrics and behavioral indicators. Design dashboards, data models, and reusable analytics assets, partnering with product, design, engineering, and data teams to align definitions and measurement approaches. Apply advanced analytics and deliver insights that improve workflows, decision-making, and user value.
Location: Hong Kong
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Develop data-backed views of AI adoption and user behavior, including segmentation, usage patterns, and progression in engagement.
  • •Implement AI-native journey analytics to analyze behavioral signals and validate measures of time saved, output quality, and user value.
  • •Build consolidated cross-tool analytics for adoption, usage, engagement, and value across enterprise AI tooling.
  • •Design and build dashboards, data models, and analytical outputs; partner with data engineering to shape pipelines and data availability.
  • •Collaborate across product, design, engineering, and data teams to embed measurement, align metrics/definitions, and inform AI adoption and experience improvements.

Key Requirements

  • •Strong experience in product analytics, data science, or advanced analytics for digital or AI-enabled products.
  • •Direct experience with AI or AI-enabled experiences and how AI shapes user behavior, workflows, and outcomes.
  • •Hands-on technical understanding of data pipelines, data models, and analytics architecture, including SQL and dashboarding tools (e.g., Power BI, Amazon QuickSight, Looker).
  • •Experience building scalable analytics assets such as dashboards, metric definitions, and reporting frameworks.
  • •Strong communication and collaboration skills to translate complex data into actionable insights for senior stakeholders.
Experience:AI-enabled productsProduct analyticsData analytics
Skills:CommunicationCollaborationStrategic thinkingData-driven decision-making
Tech Stack:SQLPower BIAmazon QuickSightLookerPython

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