Senior Manager, Data Science

AI & Data Science Strategy and Capability Development

• Lead the Bank’s enterprise AI, Generative AI, Data Science, and advanced analytics capabilities and operating model.

• Drive the development and adoption of priority AI, machine learning, and advanced analytics use cases.

• Provide strategic and technical leadership and establish standards and best practices across AI and Data Science.

• Build and develop the Bank’s internal AI, Data Science, and Data Engineering capabilities.

AI, Data & Analytics Platforms

• Own the design, development, implementation, and governance of AI and analytics platforms.

• Develop data pipelines and integrate multiple data sources to support AI and analytical solutions.

• Support Microsoft Fabric and other relevant data and analytics platforms.

• Oversee analytical solutions, dashboards, and insights to enable data-driven decision-making.

Enterprise AI & Data Science Delivery

• Translate business requirements into prioritized AI and Data Science initiatives.

• Lead initiatives end-to-end from assessment and design through testing, deployment, and adoption.

• Lead predictive analytics, machine learning, and advanced analytical solutions.

• Provide technical oversight of AI solutions and ensure appropriate testing and integration.

• Establish scalable and reusable solutions and standards to support enterprise-wide adoption.

AI Governance, Risk & Controls

• Lead the development and implementation of the Bank’s AI governance framework.

• Establish AI policies, standards, controls, and requirements for assessment, approval, validation, and deployment.

• Ensure AI and Data Science initiatives comply with regulatory, risk, data governance, and internal control requirements.

• Oversee model performance, data quality, testing, validation, and lifecycle governance.

Stakeholder & Cross-Functional Collaboration

• Act as the Bank’s subject matter expert and central point of contact for AI and advanced Data Science initiatives.

• Partner with business, Data, Innovation, Technology, Strategy, MIS, and other stakeholders to identify opportunities and drive adoption.

• Provide senior management with updates on key initiatives, performance, risks, and priorities.

• Manage relevant vendors and technology partners supporting AI and Data Science initiatives.

Knowledge Transfer & Future Capability

• Build internal AI and Data Science knowledge and promote knowledge sharing across the Bank.

• Mentor and develop AI, Data Science, and Data Engineering resources as the function expands.

• Drive knowledge transfer from external partners to strengthen internal capability and reduce vendor dependency.