Data & AI Product Strategy Leader, Banking

- Design and implement cross-functional routines and governance structures that facilitate collaboration. - Ensure alignment of data product initiatives with enterprise transformation objectives. - Act as a liaison between product teams, program leadership, and business stakeholders for integrated planning and execution. - Foster a product-focused mindset, directing teams to solve customer challenges and deliver value rather than merely executing tasks. - Coordinate various agile pods and delivery teams to meet program milestones within a complex scrum of scrums framework. - Manage conflicting priorities and interdependencies while ensuring transparency, accountability, and timely delivery. - Build and maintain strong partnerships with business, technology, and analytics stakeholders. - Effectively communicate across all levels, translating technical and strategic ideas into actionable insights. - Assist with financial planning, budgeting, and resource allocation for data product initiatives. - Collaborate with delivery and domain leaders to develop and execute staffing plans aligned with strategic priorities and program needs. - Serve as a consultative partner to senior leaders in shaping resource strategies and investment decisions using data-driven insights. - Transform business requirements into actionable product roadmaps, prioritizing features that enhance revenue, efficiency, and client satisfaction. - Oversee the design and delivery of data products that centralize insights, analytics, and recommendations for bankers. - Promote user-friendly experiences, ensuring complex AI outputs are accessible, explainable, and actionable for bankers. - Guide the development of AI-driven analytics engines to support sales processes. - Collaborate with data engineering, architecture, and ML Ops teams to construct robust data infrastructure, including data pipelines and controls. - Define and monitor key performance indicators (KPIs) such as banker adoption, revenue impact, client engagement, and operational efficiency. - Solicit user feedback, perform A/B testing, and analyze data to continually refine product features for maximum business value. - Keep up with emerging AI, data, and fintech trends, identifying opportunities to enhance the AI Banker platform while maintaining a competitive edge. - Encourage a culture of experimentation and responsible innovation, ensuring compliance with ethics, privacy, and regulatory standards.