Senior Manager / Team Head of Data Management, Quality and Governance

All Star Agency

Hong Kong

On-site

HKD 900,000 - 1,500,000

Full time

14 days+

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Job summary

Leading Bank in Hong Kong seeks a Team Head of Data Governance to lead enterprise data and AI governance, aligning with policies, standards, and architectural guidelines to elevate customer experiences through strategic data usage.

You will manage data governance specialists, build catalog and quality frameworks, shape AI governance, ensure HKMA regulatory alignment, and mentor the team to advance data capabilities across the organization.

Qualifications

  • 10 years of financial services data governance experience (3 in management).
  • Proven track record designing and overseeing data and AI governance frameworks.
  • Strong knowledge of data quality management and data protection.
  • Fluency in English, Cantonese, and Mandarin.
  • Comprehensive knowledge of banking business and regulatory landscape.

Responsibilities

  • Lead data governance specialists, analysts, and engineers to establish unified data standards.
  • Design and execute the enterprise data strategy, including governance, catalog, and quality frameworks.
  • Pioneer the bank's AI governance framework and coordinate training with Risk and Architecture teams.
  • Apply AI to metadata management and implement data lineage across the data warehouse.
  • Steer delivery of Basel reporting, digital customer engagement, and compliance reporting.
  • Mentor team members to elevate technical expertise and governance practices.
  • Monitor evolving trends in data and AI governance to identify new opportunities.

Skills

Data governance
Team leadership
Regulatory awareness
Banking operations
Master Data Management
AI governance
Informatica
Data quality
Data modeling
Stakeholder management

Tools

Informatica

Job description

Working for a leading Bank, you'll act as Team Head of Data Governance, to drive the implementation of governance and quality frameworks for the Bank’s data and AI ecosystems, enhancing competitive advantage and elevating customer experiences through strategic data utilization. Formulate data and AI strategies, ensuring full alignment with and adherence to the Bank’s governance framework, including policies, standards, performance metrics, processes, and architectural guidelines.

Core Responsibilities

  • Be responsible for data governance specialists, analysts, and engineers to establish unified data standards on Informatica, driving maximum value from bank-wide data assets.
  • Design and execute the enterprise data strategy, building comprehensive governance, catalog, and quality frameworks from the ground up.
  • Be a pioneer for the bank's AI governance framework and co-delivered training sessions with Risk and Architecture teams, interpreting HKMA circulars and compliance case studies.
  • Apply AI to streamline metadata management, achieving security classification for 1.2 million assets and implementing full data lineage across the enterprise data warehouse.
  • Steer the delivery of high-priority regulatory initiatives, including Basel reporting, digital customer engagement, and compliance reporting.
  • Champion the data model and architecture design while mentoring team members to elevate overall technical expertise.
  • Monitor evolving trends in data and AI governance, identifying new business opportunities that leverage data assets to drive operational efficiency and growth.

Role Requirements

  • The ideal candidate has 10 years of experience (3 in management) in financial services or Fintech, with deep knowledge of banking operations, data governance, and Master Data Management.
  • Proven track record in designing and overseeing data and AI governance frameworks.
  • Deep familiarity with industry-leading practices in data quality management and data protection.
  • Strong awareness of regulatory requirements and emerging trends in data and AI.
  • Comprehensive knowledge of banking business and operating models, coupled with a thorough grasp of the local regulatory landscape.
  • Results-driven, with a proven ability to perform under pressure.
  • Strong negotiation and interpersonal skills, with experience in people management.Strong analytical, communication, and people management skills are essential, along with fluency in English, Cantonese, and Mandarin.
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