A Vice President (VP) and CPB-AI Tech Lead is a pivotal senior leadership role at the intersection of advanced technology, strategic management, and client-centric financial services. This high-level position is designed for visionary technologists who excel at leading teams to design, build, and implement cutting-edge artificial intelligence solutions within Commercial and Private Banking (CPB) domains. Professionals seeking these challenging and rewarding jobs are responsible for translating complex business needs into innovative AI-driven applications that enhance client services, optimize operations, and manage risk. Typically, individuals in this profession oversee the entire applications development lifecycle for AI initiatives. Their common responsibilities include managing one or more high-performing development teams, providing technical oversight, and ensuring the delivery of robust, scalable, and secure software systems. They act as a crucial bridge between executive stakeholders, business units, and engineering teams, formulating technology strategies that align with overarching business goals. A significant part of the role involves people management—conducting performance evaluations, mentoring talent, and fostering a culture of innovation and accountability. Furthermore, they are tasked with reviewing architectural designs, managing project timelines and budgets, and upholding stringent risk and compliance standards specific to the financial industry. To succeed in VP CPB-AI Tech Lead jobs, candidates must possess a unique blend of deep technical expertise and strong leadership acumen. Typical requirements include 8+ years of progressive experience in applications development, with substantial exposure to AI, machine learning, and data engineering within financial services. Proven experience in a senior management capacity is essential, demonstrating a track record of leading large teams and delivering complex projects. Core skills encompass advanced knowledge of software development methodologies, AI/ML frameworks, and cloud architectures. Equally important are exceptional stakeholder management, strategic planning, and clear communication skills to articulate technical visions to non-technical audiences. A bachelor’s degree in computer science or a related field is standard, with a master’s degree often preferred. For those aiming to shape the future of banking through artificial intelligence, these leadership jobs offer a platform to drive transformative change and deliver tangible business value at scale.
