Business Function Group Operations enables and empowers the bank with an efficient, nimble and resilient infrastructure and process through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Operations, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. Responsibilities Support Data Governance Implementation: Assist in the rollout and operationalization of data governance policies, standards, and processes across Group Operations. Data Quality Monitoring & Issue Management: Coordinate with federated data stewards to monitor key data quality metrics, investigate issues, and drive resolution plans with relevant stakeholders. Metadata & Lineage Management\: Collaborate with Line Ops to maintain accurate business metadata, support data lineage documentation efforts, and ensure alignment with enterprise metadata strategy. Data Access Management \: support data steward on the implementation of data access controls and regular data access reviews. Project Support & Execution: Participate in key data initiatives such as Responsible data use (RDU), data profiling, reporting transformation, or AI readiness; contribute to the development of data-driven solutions and tools (e.g., dashboards, control towers, GenAI solutions). Cross-functional Collaboration: Work closely with Line Ops, Location Data stewards, RDU controllers and technology teams to drive consistent and effective data practices. Stakeholder Communication: Support on data governance updates in governance forums, working groups, and senior management meetings. Continuous Improvement: Proactively identify areas for data process enhancement and support initiatives to strengthen the data management operating model in Group Ops. Foster Data Governance Culture \: Promote data awareness, accountability, and best practices by engaging and educating stakeholders on their data responsibilities and the value of sound data management. Requirements Degree in Computer Science, Computer Engineering, Information Systems or other quantitative / computational discipline. Proficiency in understanding & handling of data on highly sophisticated framework implemented using Enterprise data security framework, Collibra Metadata & Cloud components. Detailed knowledge on broad range of functional Operations in Consumer Banking Operations, Institutional Banking Operations & Financial Market Operations to enable engaging discussions to solve for data issues. Knowledge in best practices in data governance and stewardship and have experience in data management, data cataloguing and data flow mapping Experience in developing and implementing policies, processes, and procedures for data governance and stewardship. Experience in data tools such as Tableau, QlikView, Superset, Spark, SQL, python etc. Knowledge in data engineering processes and solutions, knowledge with ADA is preferred. Knowledge in data quality assurance and control preferred. Strong project management and organizational skills. Excellent verbal and written communication skills, strong analytical and problem-solving skills Meticulous and display attention to detail Intelligent and curious to learn expansively Innovative and is constantly looking for ways to improve ways of working Primary Location\: Singapore Job\: Data Governance & Management Decision Support, Experienced Job Type\: Full-time -en