Job description

Job Description

UOB's AI & Data Risk Governance & Control is a centralized function under Group Risk Management dedicated to set out a Line 2 operating capability to oversee AI and data risks enterprise-wide with a mandate to ensure AI systems used by the bank are secure, fair, explainable, and well-governed throughout their lifecycle.

This role is a key member of the AI & Data Risk Governance team and will actively drive and participate in data & AI related risk management initiatives

• Actively drive the adoption of the UOB Group-wide Data & AI Governance strategy, framework and policy, incorporating best practices and industry standards across different jurisdictions where the Bank operates. The framework should ensure that the data & AI assets across the Bank are clearly defined, owned, stewarded, distributed, consumed and risk managed in accordance with the Bank’s applicable policies, principles and standards
• Collaborate with cross-functional teams, including business data users and data scientists, technology, risk, legal and compliance, to integrate Data & AI governance practices into the bank's ecosystem
• Actively participate in Data & AI risk assessments and validations, covering the risk management spectrum of Data & AI lifecycle
• Lead and participate in cross-functional data quality initiatives, including the regions, to identify and resolve enterprise data quality challenges, with a focus on assessing and improving quality of critical datasets
• Actively collaborate and guide a team of functional and technical data quality analysts in delivering enterprise-wide data quality solutions
• Provide guidance and expertise in the understanding of business-data requirements, design of data quality checks, data profiling, root cause analysis and design of data quality measurement scorecards
• Collaborate with data producers and consumers across the Bank and look at innovative ways of identifying and quantifying data quality problems, as well as ways of resolving data management issues over the data lifecycle, with a focus on critical datasets 
• Drive application of innovative methods such as data science techniques, machine learning or other statistical means in proactively managing data quality risks
• Be an agent of change and inculcate data governance culture and discipline across the Bank’s business and technical processes as well as across diverse stakeholders

Job Requirements

• Bachelor’s/Master’s Degree in Information Technology, Business Computing, Data Science or related disciplines with at least 10-12 years of working experience in the banking industry, or consulting industry with strong exposure to Financial Services
• Extensive knowledge and understanding of Data & AI Governance discipline, strategy and policy planning, especially related to financial industry best practices and across the regulatory landscape
• Understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies will be an advantage
• Good understanding of data management and related disciplines, such as data management lifecycle, data architecture, data quality and metadata
• Excellent project management and facilitation skills, with the ability to manage senior stakeholders across the Bank and to navigate through conflicts with ease
• Demonstrated ability in driving teams and initiatives independently
• Excellent written / oral communication skills with strong interpersonal skills

Additional Requirements