Data Governance & AI Strategy Director

ALL-STAR AGENCY

Hong Kong

On-site

HKD 1,500,000 - 2,100,000

Full time

14 days+
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Job summary

ALL-STAR AGENCY is seeking a Director of Data Science to support a leading bank in establishing bank-wide data and AI governance frameworks, driving competitiveness and customer experience. The role entails defining strategy, setting quality and protection standards, and developing an enterprise implementation roadmap.

The position requires managing internal and external stakeholders, ensuring regulatory compliance, and identifying new business opportunities through data assets, while mentoring

Qualifications

  • Requires 10+ years in financial services or fintech with 5+ in management.
  • Proven track record in designing and overseeing data and AI governance frameworks.
  • Deep familiarity with data quality and data protection practices.
  • Strong regulatory awareness and ability to navigate local regulations.

Responsibilities

  • Partner with the Head of Data Science & Governance to drive governance/quality frameworks for bank data/AI ecosystems.
  • Formulate data and AI strategies aligned with governance policies, standards, and metrics.
  • Monitor trends in data governance, identifying business opportunities to leverage data assets.
  • Lead cross-functional collaboration, mentor staff, and manage performance.

Skills

Leadership
Stakeholder management
Data governance
Strategic thinking
Communication
Languages EN/CN/MN

Tools

MDM (Master Data Management)
Data quality tools
Governance frameworks

Job description

ALL-STAR AGENCY is seeking a Director of Data Science to support a leading bank in establishing bank-wide data and AI governance frameworks, driving competitiveness and customer experience. The role entails defining strategy, setting quality and protection standards, and developing an enterprise implementation roadmap.

The position requires managing internal and external stakeholders, ensuring regulatory compliance, and identifying new business opportunities through data assets, while mentoring

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