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

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)