Vice President / Executive Director, Data Analytics

What you will be doing:

• Act as a strategic data translator, bridging business and technology by converting complex data, AI/GenAI insights, and analytical outputs into clear, actionable business strategies

• Independently lead end-to-end data & analytics initiatives, incorporating predictive modeling, machine learning, and GenAI-driven analytics to support strategic decision-making and revenue growth

• Partner closely with regional and in-country stakeholders (Business Units, Product, Risk, etc.) to identify growth opportunities and strengthen risk controls

• Design, develop, and automate interactive dashboards and MIS using modern data visualization and scripting tools

• Build and scale data-driven products and AI-enabled solutions that enhance operational efficiency and productivity

• Collaborate with regional analytics teams to promote best analytical practices, and ensure consistent delivery across markets

• Support the design, validation and evolution of modern data architecture, ensuring scalable, governed, and high-quality data foundations

• Identify and integrate traditional and alternative data sources, and explore innovative use cases to unlock new business value

• Serve as a trusted analytics and AI advisor to senior stakeholders, translating data insights into business narratives, decisions, and measurable outcomes

What are we looking for:

• Bachelor’s degree or above, with 10+ years of experience in data analytics, data science, or related disciplines

• Strong domain knowledge in SME and Corporate Banking, with understanding of customers, products, processes and market landscape

• Proficiency in Python, SQL, and relational databases, with hands-on experience developing analytical applications and automated reporting solutions

• Strong business acumen with the ability to translate complex data into meaningful insights

• Strong experience with data visualization tools (e.g., Power BI) and building intuitive, insight-driven dashboards

• Familiarity with modern data ecosystems, and experience in applying AI in business analytics is an advantage

• Excellent communication and stakeholder management skills 

• Self-driven, hands-on, and passionate about leveraging data / AI to drive measurable business impact