Associate-Data Transformation and Innovation

Job Description
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world's most innovative financial organizations. Make a significant impact on business reporting and analytics by helping deliver data and artificial intelligence-enabled capabilities.
Job Summary
As a Senior Product Associate within Corporate and Investment Banking Planning and 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 artificial intelligence-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
Partner with the Product Manager to identify new product opportunities that reflect customer and market needs through user research and discovery
Consider and plan for upstream and downstream implications of new product features on the overall product experience
Support 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
Analyze, track, and evaluate product metrics, including work to time, cost, and quality targets across the product development life cycle
Write requirements, epics, and user stories to support product development
Develop and execute data and product strategy that delivers value to end users, with emphasis on reporting, analytics, and planning modernization
Conduct user interviews, prioritize user needs, test ideas, and convert findings into scalable solutions
Design and deliver artificial intelligence-enabled product capabilities, including experience with multi-agentic workflows, Model Context Protocol, and related emerging orchestration patterns to drive intelligent automation and decision support
Understand financial data models across multiple data products and apply that understanding to define data requirements and acceptance criteria
Collaborate and present 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 business intelligence 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 (for example, Business, Computer Science, Information Systems, Engineering, Economics)
Preferred Qualifications, Capabilities, And Skills
Knowledge of cloud-based data platforms and technologies such as Amazon Web Services and Databricks
Experience with emerging data consumption tools and patterns, including self-service analytics enablement
Experience with artificial intelligence and machine learning technologies in product development, including familiarity with large language models, multi-agentic workflows, or orchestration patterns
Experience translating complex financial data and controls constraints into clear product requirements and testable acceptance criteria
Familiarity with business intelligence tools and experience with Structured Query Language for data analysis and reporting
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Skills
AWS, Databricks, Machine Learning, Artificial Intelligence, Data Analysis, Product Management, Investment Banking

Experience
3+ yrs

Work arrangement
No