Enterprise Data Steward

Get To Know Our GX Bank Team

GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Working with Data Stewards, Data Owners and relevant parties to implement and enforce the enterprise-wide data governance framework, including policies, standards, and procedures set by the EDaC.
• Collaborate with Data Steward to define and maintain critical data elements and translate business rules into technical data quality rules in accordance with the established Data Quality Dimensions.
• Take full ownership of the development and maintenance of Data Quality (DQ) Scorecards and Dashboards, holding ultimate accountability for the accuracy, integrity, and relevance of the metrics presented.
• Collaborate with Data Quality Analysts to define, build, and continuously enhance DQ dashboards, ensuring they provide actionable insights for all stakeholders.
• Actively monitor data quality dashboards, identify anomalies, and lead to mediate root-cause analysis for data issues with Backend Engineer and Data Engineer.
• Participate in the Executive Data Committee (EDaC) by preparing and presenting reports on DQ status, trends, and remediation progress.
• Lead Data Governance Working Group sessions by facilitating collaboration and resolving conflicts between different business units over data.
• Drive cross-functional collaboration to resolve complex data quality issues by:
• Partnering with Technology to ensure timely and accurate root cause analysis.
• Working with Product and Engineering teams to implement permanent system-level fixes.
• Coordinating with Operations and Business units to execute data cleansing initiatives.
• Collaborating with Business Data Stewards to resolve domain-specific data quality matters.
• Log, prioritize, and meticulously track data quality issues in an issue management system (JIRA).
• Ensure all data handling practices for data quality are strictly adhering to Bank Negara Malaysia (BNM) guidelines (including RMiT, Data Management & MIS Framework ) and the Personal Data Protection Act (PDPA).
• Champion innovation by researching and leveraging Artificial Intelligence (AI) to pioneer new methods to support Data Governance functions to be more efficient.
• Any other task assigned from time to time, to support Data Governance function.
  

The Must-Haves

• Experience: 3+ years of experience in a data-focused role, such as Data Governance, Data Stewardship, Data Quality Management, or Data Analysis.
• Data Governance Acumen: Solid understanding of data governance principles, data quality management, metadata, and data stewardship best practices.
• Industry Knowledge: Experience in the banking or financial services industry. Deep understanding of banking data domains (e.g., customer KYC, AML/CFT, credit risk, deposits, payments).
• Regulatory Familiarity: Proven knowledge of the Malaysian regulatory landscape, particularly BNM’s Data Management & MIS Framework, RMiT and PDPA requirements.
• Technical Skills:
• Strong proficiency in SQL for data profiling and analysis.
• Experience in a cloud-first environment (e.g., AWS).
• Deep, hands-on experience with the Snowflake Data Cloud which includes understanding of the Snowflake architecture, including virtual warehouses, database objects, and role-based access control.
• Hands-on proficiency in Python for data manipulation and application development.
• Proven experience in designing, developing, and deploying interactive data applications and dashboards using the Streamlit framework (Especially Streamlit in Snowflake (SiS) applications directly on the platform)
• Soft Skills:
• Exceptional Communication: Ability to articulate complex data concepts to both technical and non-technical stakeholders.
• Collaborative Mindset: A true team player with a proven ability to influence and build consensus across different departments.
• Problem-Solving: Strong analytical and root-cause analysis skills.
• Attention to Detail: Meticulous and passionate about data accuracy and integrity.
• Preferred:
• Professional certification in data management (e.g., DAMA Certified Data Management Professional - CDMP).
• Experience working in an Agile/Scrum development environment.