Assistant Vice President, Enterprise Data Transformation

Shanghai Commercial Bank Ltd; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Shanghai Commercial Bank Ltd is seeking an experienced Data Architect to define and own the Target Enterprise Data Architecture in a banking context. You will shape canonical models, master data strategy, and data domains while ensuring alignment with regulatory reporting and end-to-end data lineage.

You will partner with Risk, Finance, and Compliance to reduce manual reconciliations, establish a robust Data Governance Framework, and lead a team of architects, analysts, and data engineers across

Qualifications

• 7+ years in data architecture in the banking sector.
• Experience with enterprise data modelling and cloud/hybrid architectures.
• Strong regulatory reporting and data lineage knowledge.
• Excellent executive communication and storytelling skills.
• Fluent in English and Chinese, with cross-functional collaboration ability.

Responsibilities

• Define and own the Target Enterprise Data Architecture and canonical data models.
• Establish data ownership, governance, and quality KPIs.
• Ensure data architecture supports regulatory reporting and end-to-end lineage.
• Partner with Risk, Finance, and Compliance to improve auditability.
• Lead a team of architects, analysts, and data engineers.

Skills

Data architecture

Data modelling

Regulatory reporting

Executive communication

Stakeholder management

Cloud & hybrid

Data governance

Mentoring

Data quality

English/Chinese bilingual

Job description

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

More Job Information

Job Function

• 銀行 · 金融服務 - 金融科技

Location

• 啟德

Location

• 九龍城區

Employment Term

• 全職