Assistant Vice President, Enterprise Data Transformation

Leadingnation; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

Leadingnation is seeking a Senior Data Architect in Hong Kong to define and own the Target Enterprise Data Architecture, including canonical data models, master data strategy, and data domains.

You will establish architectural principles, ensure regulatory reporting support and data lineage, and work with Risk, Finance, and Compliance to improve auditability. You will lead a team of architects and data engineers and produce regulator-ready materials for boards.

Qualifications

• Minimum 7 years of experience in data architecture, data platforms, or enterprise architecture in the banking industry.
• Strong banking domain experience, particularly in core banking data and regulatory reporting.
• Proven experience designing enterprise data architectures for banks or regulated financial institutions.
• Technical proficiency in enterprise data modelling, metadata management, ETL/ELT patterns, and cloud/hybrid architectures.
• Deep understanding of data ownership models and regulatory expectations around data accuracy and traceability.
• Experience supporting audits, internal risk reviews, or regulatory exams.
• Excellent executive-level communication, documentation, and storytelling skills.
• Ability to diplomatically challenge legacy architectures and operate in complex, federated organisations.
• Strong analytical skills and a proven ability to collaborate effectively with cross-functional teams.
• Proficient in both spoken and written English and Chinese.

Responsibilities

• Define and own the Target Enterprise Data Architecture, including canonical data models, master data strategy, and data domains
• Establish architectural principles such as a single version of truth and domain-based data ownership
• Ensure data architecture supports HKMA, IFRS, Basel, liquidity, and risk reporting, enabling end-to-end data lineage
• Partner with Risk, Finance, and Compliance teams to reduce manual reconciliations and improve auditability of numbers
• Define and implement a Data Governance Framework, including the establishment of data quality rules, KPIs, and business glossaries
• Define data platform strategies for ingestion, storage (warehouse/lakehouse), and exposure to consumers via APIs and reporting tools
• Act as a bridge between IT, Data, Risk, Finance, and Business, and produce board- and regulator-ready materials
• Lead and mentor a team of architects, analysts, and data engineers

Job description

• Define and own the Target Enterprise Data Architecture
• Establish architectural principles
• Ensure data architecture supports HKMA, IFRS, Basel, liquidity, risk reporting

Responsibilities

• Define and own the Target Enterprise Data Architecture, including canonical data models, master data strategy, and data domains
• Establish architectural principles such as a single version of truth and domain-based data ownership
• Ensure data architecture supports HKMA, IFRS, Basel, liquidity, and risk reporting, enabling end-to-end data lineage
• Partner with Risk, Finance, and Compliance teams to reduce manual reconciliations and improve auditability of numbers
• Define and implement a Data Governance Framework, including the establishment of data quality rules, KPIs, and business glossaries
• Define data platform strategies for ingestion, storage (warehouse/lakehouse), and exposure to consumers via APIs and reporting tools
• Act as a bridge between IT, Data, Risk, Finance, and Business, and produce board- and regulator-ready materials
• Lead and mentor a team of architects, analysts, and data engineers

Requirements

• Minimum 7 years of experience in data architecture, data platforms, or enterprise architecture in the banking industry
• Strong banking domain experience, particularly in core banking data and regulatory reporting
• Proven experience designing enterprise data architectures for banks or regulated financial institutions
• Technical proficiency in enterprise data modelling, metadata management, ETL/ELT patterns, and cloud/hybrid architectures
• Deep understanding of data ownership models and regulatory expectations around data accuracy and traceability
• Experience supporting audits, internal risk reviews, or regulatory exams
• Excellent executive-level communication, documentation, and storytelling skills
• Ability to diplomatically challenge legacy architectures and operate in complex, federated organisations
• Strong analytical skills and a proven ability to collaborate effectively with cross-functional teams
• Proficient in both spoken and written English and Chinese

We offer competitive remuneration commensurate with candidate’s background. If you look for a friendly and harmonious working environment with steady career progression, here is the right opportunity for you.

We are an equal opportunity employer.

Applicants who are not contacted within 8 weeks may consider their application unsuccessful. Applications may be retained for 24 months for consideration of other suitable openings.

All personal data collected will be used for recruitment related purposes strictly in accordance with the Bank's personal data policies, a copy of which will be provided upon request by contacting our Personal Data ComplianceOfficer.