Head of BIC Center

ACG_3311_JOB Our client is a leading financial services company, seeking experienced professionals to join its organization. 1. Strategic Planning & Budget Management Define the operating framework and formulate long-term vision, strategies, and objectives for the Business Intelligence function. Develop and manage annual operating plans and budget forecasts to ensure effective delivery of assigned mandates and responsibilities. Lead the rollout and adoption of Business Intelligence initiatives to strengthen data-driven decision-making, enhance analytical maturity, and embed advanced analytics into business development, customer acquisition, retention, and value optimization activities. Champion the use of insights and analytics to translate data into measurable commercial outcomes. 2. People Leadership & Organization Management Oversee day-to-day operations and performance of all teams under the Business Intelligence function, ensuring alignment with strategic priorities. Design and execute workforce development strategies to build a high-performing, technically strong, and future-ready analytics organization. Conduct regular performance reviews, establish continuous improvement practices, and drive productivity and capability uplift across teams. 3. Data Governance, Architecture & Management Provide leadership and oversight for data architecture, data platforms, and centralized data repositories supporting reporting, analytical exploration, and model development across business and functional units. Take accountability for end-to-end data quality, integrity, and consistency across enterprise data warehouses and downstream data marts. Manage data provisioning, reporting delivery, and analytical support to meet monitoring, control, and insight needs of internal stakeholders. Ensure effective training, coaching, and capability transfer across analytics teams in both technical disciplines and business domain knowledge related to data governance and analytics. 4. Advanced Analytics & Data Science Lead the design, development, and deployment of predictive, prescriptive, and optimization models to support business growth and operational excellence. Apply data science methodologies and machine learning techniques to solve complex business and operational challenges at scale. 5. Business Intelligence & Commercial Analytics Build, implement, and oversee advanced analytical frameworks and models that enable business growth, performance optimization, and operational efficiency across sales, collections, and support functions. Define the strategic roadmap for insight generation and analytics use cases in close collaboration with business and support teams, integrating people capabilities, data assets, technology platforms, and domain expertise. 6. Additional Responsibilities Perform other duties and assignments as directed by senior management and governing bodies. Requirements Bachelor’s degree in a relevant discipline such as Computer Science, Information Technology, Statistics, Finance, Economics, Mathematics, or Business Administration. Minimum of 15 years of professional experience in data management, analytics, and large-scale team leadership within the banking or financial services industry. Extensive hands-on experience with Business Intelligence, analytics, and reporting platforms (e.g., enterprise data platforms and visualization tools such as Netezza, SAS Visual Analytics, or equivalent). Strong expertise in statistical analysis, advanced modeling, and quantitative techniques. Proven experience in developing scorecards, analytical frameworks, and translating insights into actionable strategies and execution. In-depth knowledge of lending, credit, and consumer finance businesses. Outstanding leadership, people management, and stakeholder engagement capabilities. Strong analytical thinking, problem-solving, and negotiation skills. Excellent written and verbal communication skills. Demonstrated success in building, leading, and scaling diverse, high-performing teams. Contact: Huong Do Due to the immense number of applications, only shortlisted candidates will be contacted.