Team Head & Senior Manager, Data Governance - Data Science & Governance

The Bank of East Asia, Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

The Bank of East Asia, Limited is seeking a senior data governance professional to lead the implementation and oversight of integrated AI and data governance frameworks within a regulated banking environment.

You will coordinate governance processes across data ownership, metadata, lineage, quality, retention and issue management, while mentoring team members and driving responsible adoption of data management standards.

Qualifications

• 6–8 years of working experience in Data Governance or Data Management, with some managerial exposure in financial services/Fintech.
• Knowledge of industry leading Data Privacy and Data Protection practices is an advantage.
• Hands-on experience in Data Governance, Data Management and Data Quality in financial sector, preferably banking.

Responsibilities

• Assist in implementing integrated AI & Data Governance frameworks in a controlled, compliant manner.
• Coordinate governance across data ownership, classification, metadata, lineage, quality, retention and issue management.
• Provide operational oversight across data management lifecycles and support governance forums.
• Mentor and develop team members and drive continuous improvement.
• Promote data ownership, quality controls and governance design into change initiatives.
• Enhance metadata capabilities and establish scorecards to monitor quality and readiness.
• Advise senior leaders and product teams on governance strategy, risk and adoption.

Skills

Data governance

Data management

Data quality

Stakeholder management

Communication

Problem solving

Education

Bachelor's degree in Data Science/Computer Science/Business Administration/Information Management or related discipline

Job description

Responsibilities

• Assist Section Head of AI & Data Governance to the implementation and execution of integrated AI and Data Governance frameworks and ensure data and AI platform and solutions are developed and used in controlled, compliant in respect to bank’s standard and policy.
• Coordinates governance process across data ownership, classification, metadata, lineage, quality, retention, and issue management are implemented in controlled, compliant in respect to bank’s standard and policy. Support AI use case assessments, approvals and monitoring.
• Provides Operational oversight across data management lifecycles, supports governance forums and drives continuous improvement to ensure AI related risks are effectively managed and support the enabling responsible adoption of data management and AI governance standards.
• Act as a mentor in coaching and developing team members
• Drive data ownership, stewardship, classification, metadata, lineage, quality, master and reference data, retention, and issue management.
• Promote data ownership, quality controls, checkpoints, Governance by Design, into change and technology initiatives.
• Enhance metadata and CDE capabilities with technology and business stakeholders to improve adoption, automation, efficiency, and readiness.
• Establish scorecards and monitoring to assess data quality, readiness, maturity, and control effectiveness.
• Guide resolution of complex data quality, ownership, metadata, lineage, and governance issues through relevant forums.
• Advise senior leaders, Data and AI owners, product teams, and control functions on governance, strategy, risk, and responsible adoption.
• Prepare and facilitate governance forums with clear agendas, quality materials, documented decisions, ownership, and follow-through.
• Build cross-functional relationships and influence senior stakeholder and secure sponsorship for governance initiatives.
• Deliver communication, training, and awareness programs to strengthen Data literacy, Responsible AI awareness, and governance culture.
• Help teams understand governance requirements and embed them into operations and change initiatives.
• Promote knowledge sharing, communities of practice, and consistent Data governance standards with integration of AI governance.

Requirements

• University graduate in Data Science, Computer Science, Business Administration, Information Management or a related discipline
• Minimum 6-8 years’ working experience in Data Governance or Data Management of which a few years in managerial level from recognized establishments in financial services and/ or Fintech related industries. AI governance experience is a plus.
• Knowledge of industry leading Data Privacy and Data Protection management practices is an advantage
• Hands-on experienced in Data Governance, Data Management and Data Quality in financial sector, preferably in banking industry
• Good communication and interpersonal skills including teamwork, facilitation and negotiation
• Good problem-solving skills with a proactive approach to resolving issues
• Proficient in both spoken and written English and Chinese (Cantonese + Mandarin)

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Data Policy, which is available upon request. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.