Customer Insights - Payments Data & Analytics - Senior Product Associate

JPMorgan Chase & Co. • New York, NY

2h • $99,750 - $155,000

About The Position

The Senior Product Associate on the Customer Insights team within Payments Data & Analytics contributes to product development and optimization by using user research, customer feedback, analytics, and cross-functional collaboration. The role focuses on day-to-day product execution, including prioritizing analytics use cases, managing ad hoc projects, and ensuring internal and external stakeholders receive timely, actionable insights. It also involves building and scaling AI-powered features and products, from concept through launch and continuous improvement.

The associate works with a Product Manager and partners across engineering, design, sales, and marketing to identify product opportunities, define requirements, measure performance, and deliver product initiatives. The role includes developing an AI conversational analyst for deployment across digital channels, managing product modules and workstreams, supporting commercialization and sales goals, and using customer and market insights to keep offerings relevant and differentiated.

Requirements

• 3 or more years of experience, or equivalent expertise, in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience with product life cycle activities, including discovery and requirements definition.
• Developing knowledge of data analytics and data literacy.
• Technical expertise and experience in data analytics, such as SQL or Python, and the ability to analyze data to make decisions.
• Management consulting skills, including problem solving, impact orientation, business understanding, program management, executive presence, top-down communication, and presentation skills.
• Strong business acumen and ability to translate complex data insights into actionable product strategies.
• Leadership in driving cross-team collaboration and fostering innovation and continuous improvement.
• Strong prioritization skills to balance competing demands and maximize product impact.
• Project management abilities to deliver products on time and within budget.
• Familiarity with AI/ML concepts, including supervised and unsupervised learning, evaluation metrics, drift, and explainability, and the ability to translate them into product features and controls.
• Familiarity with evaluation frameworks and monitoring for AI use cases.

Nice To Haves

• Prior experience working in a highly matrixed, complex organization.
• Bachelor’s degree in a quantitative, technical, or business discipline; a master’s degree in math, statistics, analytics, or business is preferred.
• Experience in payments, fintech, or technology-enabled industries.
• Experience creating solutions leveraging AI and fluency with AI models such as OpenAI, Anthropic, and Google.
• Excellent communication skills, including the ability to explain complex technical topics to non-technical audiences and build consensus across diverse stakeholders.
• Proven track record of launching and scaling data-driven products in a commercial environment.
• Adaptability and resilience in a fast-paced, evolving market.

Responsibilities

• Build an AI conversational analyst to deploy AI into products effectively across different digital channels.
• Partner with the Product Manager to identify product opportunities through user research and discovery that reflect customer and market needs.
• Consider upstream and downstream implications of new features for the overall product experience.
• Support user research, journey mapping, and market analysis to inform the product roadmap and identify valuable potential features.
• Analyze, track, and evaluate product metrics, including time, cost, and quality targets across the product development life cycle.
• Write requirements, epics, and user stories to support product development.
• Establish product KPIs and OKRs and analytics instrumentation to measure usage, satisfaction, and business impact; run experiments and A/B tests to improve engagement and optimize adoption.
• Manage individual product modules and team workstreams to bring initiatives to market, including alternative data delivery and AI capabilities.
• Support sales targets and commercialization by analyzing client target lists, participating in internal and external events, maintaining competitive intelligence, and identifying new data sources.
• Collaborate with engineering, design, sales, and marketing to ensure seamless product delivery and client satisfaction.
• Champion customer-centric design and feedback loops, using insights to continuously refine and enhance products.

Benefits

• Competitive total rewards package, with eligible roles potentially receiving commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed