VP, Data Management & Analytics, Data Management Office (DMO)

• Engage stakeholders to identify and prioritise opportunities for data-driven improvements and efficiencies.
• Drive the development and implementation of data analytics solutions to address specific business challenges.
• Develop and conduct design workshops to collaboratively co-design use-centric solutions aligned to business goals.
• Design and build intuitive dashboards to communicate actionable insights that can drive decision making.
• Ensure data solutions adhere to data management and data governance policies and best practices.
• Drive the adoption of BI and analytics tools and guiding on the integration of analytics into strategic planning and operational processes.
• Collaborate with business units to define and specify data requirements for analytics projects.
• Oversee the data pipelines for the central data HUB and working with IT to maintain the roadmap.
• Advocate the use for Data HUB as our centralised governed data assets to support critical business reporting and analytics needs.
• Identify data quality issues and working with cross functional teams to resolve the issues.
• Improve data proficiency through hands-on support and training to ensure the users can leverage data effectively and drive continuous improvement.

Job Requirements

• Bachelor's degree with min. 8 years of experience in Data Science, Data Analytics, Data Governance, Data Management or MIS/Reporting.
• Subject Matter Expertise along with extensive hands-on experience in driving the development and implementation of data analytics solutions specifically within banking and financial institutions. 
• Strong business acumen along with advanced technical competencies and a track record in delivering strategic data analytics initiatives.
• Proficient in BI tools such as QlikView, Tableau, Power BI etc with proven experience in developing interactive, effective and insight-driven management dashboards and business reports.
• Strong Python/R programming skills and expertise in developing machine learning models.
• Experience in data management, data integration, data governance and ability to work across departments and business units/functions effectively.
• Experience in conducting data discovery, performing root cause analysis and making recommendations for data quality issues resolution.
• Experience in managing metadata and master data management.
• Strong knowledge of data management and data governance framework, UI/UX principles and data analytics best practices.
• Strong experience on data governance tool such as Collibra, Informatica, Alation etc will be an added advantage.
• Excellent strategic thinking, analytical and problem-solving skills.
• Effective communication, presentation and influencing skills.
• Strong collaboration and project management skills.