Job Summary
Lead and manage a squad focused on data management initiatives, ensuring data quality, governance, and accessibility to support RHB Bank Berhad's strategic objectives.
Job Responsibilities
- Lead, mentor, and develop a team of data management professionals, fostering a culture of high performance and continuous improvement.
- Oversee the end-to-end data lifecycle, including data acquisition, integration, quality, governance, and retention.
- Define and implement data management initiatives, policies, and procedures in alignment with industry best practices and regulatory requirements (e.g., BNM, GDPR).
- Collaborate with various business units and IT stakeholders to understand data requirements and deliver effective data solutions.
- Drive data management initiatives to improve resiliency of Enterprise Data Platforms to deliver timely and quality data to business stakeholders.
- Manage data-related projects, including planning, execution, monitoring, and reporting, ensuring timely delivery and adherence to budget.
- Identify and resolve data-related issues, working with relevant teams to implement permanent solutions.
- Champion data literacy and promote a data-driven culture within the organization.
- Evaluate and recommend new data management tools and technologies to enhance capabilities.
- Work with IT and IT Enterprise Architecture team for architecture alignment and approval for analytics capabilities initiatives
- Identify and implement new tools and technologies to enhance data management capabilities.
- Report on the progress and performance of data management initiatives to senior leadership.
Job Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum of 7 years of experience in data management, data governance, or data architecture, with at least 3 years in a leadership or supervisory role.
- Proven experience in managing and mentoring data professionals.
- Strong understanding of data governance frameworks, data quality principles, and data warehousing / data lake concepts.
- Experience with relevant data management tools and technologies (e.g., SQL, ETL tools, data quality, platforms).
- Familiarity with regulatory requirements relevant to the financial services industry in Malaysia (e.g., BNM guidelines).
- Excellent communication, interpersonal, and stakeholder management skills.
- Strong analytical and problem-solving abilities.
- Ability to work effectively in a fast-paced and dynamic environment
