Product Manager, Vice President
On-siteBrooklyn, New York, United States
Job Summary
Develop product strategy and vision for data and AI-enabled capabilities in Corporate & Investment Banking, translating user needs into prioritized backlogs and actionable requirements. Lead end-to-end product lifecycles, managing discovery, market research, and the successful launch of offerings while building frameworks to track key success metrics including cost, functionality, and reliability. Design and deliver AI-enabled features utilizing multi-agentic workflows and Model Context Protocol, collaborating with cross-functional teams to improve data consumption patterns and influence decision-making through analytics. Present technical information to senior stakeholders and ensure top-tier client experiences within a highly governed financial services environment.
Required Qualifications
- 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)
Desired Qualifications
- 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
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