Product Manager, Vice President

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager, Vice President in Corporate & Investment Banking Planning & Analysis Data Transformation and Innovation, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will support product strategy and delivery for data and AI-enabled capabilities, translating user needs into a prioritized backlog and actionable requirements. You will also partner across business, technology, and data teams to improve data consumption patterns and influence decision-making through analytics. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Job responsibilities Develops a product strategy and product vision that delivers value to customers Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability Develops and executes data and product strategy that delivers value to end users, with emphasis on reporting, analytics, and planning modernization. Conducts user interviews, prioritizes user needs, tests ideas, and converts findings into scalable solutions. Designs and delivers AI-enabled product capabilities, including experience working with multi-agentic workflows, Model Context Protocol (MCP), and related emerging AI orchestration patterns to drive intelligent automation and decision support. Understands financial data models across multiple data products and applies that understanding to define data requirements and acceptance criteria. Collaborates and presents technical information in a clear and concise manner to both technical and non-technical audiences, including senior stakeholders. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders. Demonstrated ability to formulate product strategy, maintain a roadmap, and manage a backlog with clear prioritization rationale. Strong understanding of data models and BI tools. Financial services industry domain expertise, with comfort operating in complex, highly governed environments. Bachelor's degree or equivalent practical experience in a relevant field (e.g., Business, Computer Science, Information Systems, Engineering, Economics). Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Knowledge of cloud-based data platforms and technologies such as AWS and Databricks. Experience with emerging data consumption tools and patterns, including self-service analytics enablement. Experience with AI/ML technologies and their application in product development, including familiarity with large language models, multi-agentic workflows, or AI orchestration patterns and their application in product development. Experience translating complex financial data and controls constraints into clear product requirements and testable acceptance criteria. Familiarity with business intelligence (BI) tools and experience in SQL for data analysis and reporting