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.