at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
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**Senior Product Associate** steers product development in finance, driving data-driven decisions. Translate user needs and market insights into actionable product roadmaps. Collaborate cross-functionally to enhance data consumption and automate decision-making. Key skills: user research, metrics analysis, product strategy, BI tools proficiency, and cloud-based data platforms. Bring 3+ years of product management experience and financial services domain expertise. Leverage AI/ML technologies and innovative data consumption tools.
- Compensation
- Not specified USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: New York, NY, United States
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the worlds most innovative financial organizations.
As a Senior Product Associate in Corporate & Investment Banking Planning & Analysis Data Transformation and Innovation, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact on business reporting and analytics. 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.
Job responsibilities
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- 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
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- 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
- 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
