Description Job summary: As a Vice President in the Securities Services Chief Data and Analytics Office (CDAO), you will lead the development and execution of our, AI/ML strategy and governance. Collaborating across business areas, operations, quantitative research, data science, and technology teams, you will define and deliver a scalable data and AI platform. Your role is crucial in shaping the strategic data and AI/ML agenda globally, driving innovation, and advancing our digital agenda through data, analytics, and AI/ML. Job responsibilities: Drive the development and delivery of our strategic AI/ML platform. Collaborate with senior business and functional leaders to identify, define, and prioritize critical data and AI/ML needs, ensuring effective governance and integration. Design and deliver products by integrating data into analytics platforms for projects such as machine learning and artificial intelligence. Oversee the end-to-end AI model lifecycle, from ideation and development to deployment and optimization. Provide thought leadership, monitor industry trends, and emerging technologies to identify AI/ML opportunities to transform business processes and scale Custody, Fund Accounting, and Trading Services product. Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality. Lead the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, and quality. Deliver data and AI/ML strategy initiatives, ensuring alignment with business goals, and collaborate with senior leadership to prioritize and execute critical projects. Drive data and AI/ML governance and risk management efforts, providing subject matter expertise and driving collaboration across functions. Required qualifications, capabilities, and skills: Relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy. Extensive product management experience. Experience in data, analytics, and AI/ML is a plus. Financial services industry domain expertise at large global organizations. Ability to lead and mentor cross-functional teams with strong strategic thinking and decision-making skills. understanding of data management principles, governance frameworks, and lifecycle management. Strong analytical and problem-solving skills, translating complex data concepts into actionable business strategies. Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders. Understanding of regulatory and control landscape and its impact on strategy and delivery. Experience and track record in delivering products from ideation to production Preferred qualifications, capabilities, and skills: Deep experience in productionalizing AI solutions for business adoption Experience with AI technologies Demonstrable track record in delivering scalable AI solutions Background in program management for quant projects is a plus Deep knowledge of data governance and controls. Experience with or knowledge of cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud. Experience with advanced analytics, machine learning, or artificial intelligence applications in a business context. Experience in agile methodologies is a plus.