Senior Vice President, Data & AI Strategy & Transformation

The Company is in search of a Senior Vice President for Data and AI Strategy and Transformation. This executive will serve as the principal leader for enterprise data and AI architecture, transformation execution, and technical delivery. The role involves leading the development and execution of the enterprise data and AI strategy, designing and implementing data and AI operating models, and ensuring the practical conversion of fragmented data into trusted enterprise data with measurable business outcomes. The SVP will also be responsible for defining the strategy and target architecture for governed agentic AI, as well as leading the governance and responsible AI practices. This is a hands-on leadership position that requires the ability to move between executive decision-making and technical implementation, and the ideal candidate will have a strong background in data and AI, with a focus on financial services or other regulated, data-intensive industries. Candidates for this role at the company should have a minimum of 15 years' of experience in enterprise data, analytics, artificial intelligence, architecture, engineering, and technology transformation, with a proven track record of leadership in complex organizations. A Bachelor's degree in a technical, quantitative, or business field is required, and a graduate degree is preferred. The successful candidate will have deep hands-on experience in data-fabric and data-mesh architectures, lakehouse/medallion platforms, and will be fluent in SQL, Python, and modern data and AI practices. Experience in financial services, lending, credit, payments, risk, or another regulated, data-intensive industry is essential. The role demands a leader who can build and manage multidisciplinary teams, influence C-suite stakeholders, and lead major vendors, all while maintaining a strong focus on technical excellence, reuse, evidence, and accountability.