Job Description:

- Define and execute the enterprise analytics strategy aligned with business objectives.

- Lead and scale data science and analytics teams, ensuring high performance and capability building.

- Drive stakeholder engagement across functions to identify, prioritize, and deliver high-impact use cases.

- Oversee development of advanced analytics and AI solutions for decision-making and business growth.

- Establish robust data governance, quality, and best practices across the analytics ecosystem.

- Ensure deployment of scalable, production-ready analytics solutions with measurable outcomes.

- Monitor performance, track business impact, and continuously optimize analytics initiatives.

- Define and execute the enterprise-wide data strategy to align analytical capabilities with the bank's long-term growth objectives.

- Lead and mentor high-performing teams of data scientists and analysts to build scalable machine learning models that solve complex banking challenges.

- Collaborate with cross-functional stakeholders to identify high-impact opportunities for data intervention in credit risk, marketing, and operational efficiency.

- Oversee the integration of Big Data technologies to ensure robust data pipelines and high-quality analytical outputs.

- Translate intricate technical findings into clear, actionable insights for executive management to facilitate informed strategic planning.

- Drive the adoption of advanced statistical techniques and automation to streamline internal processes and improve service delivery.