Senior Product Associate - Payments

JPMorganChase•Chicago, IL

22h

About The Position

As a Product Associate in Embedded Payments Analytics Product Management, you will help deliver analytics products that enable self-service insights and decision-making for internal teams. You will partner with product, engineering, data engineering, and AI/ML stakeholders to shape capabilities across SQL-driven analytics, Databricks-based data and compute, semantic and metrics layers, dashboards, and AI-enabled analytics experiences. The role is analytics-forward and also involves developing working knowledge of upstream platform considerations, including data quality, lineage, governance, and pipeline reliability, to support a strong end-to-end user experience. You will support product discovery, requirements definition, planning, and delivery while collaborating with experienced product managers and cross-functional teams. This role offers the opportunity to contribute to product strategy and customer experiences in a dynamic, fast-paced environment.

Requirements

At least 1 year of experience, or equivalent internship or project experience, in product management, analytics, business intelligence, data engineering, or software delivery.
Foundational knowledge of the product development lifecycle and comfort working in Agile teams.
Working proficiency in SQL, including validating metric logic, performing exploratory analysis, and troubleshooting data issues.
Familiarity with analytics concepts such as KPIs and metrics, reporting, basic dimensional modeling, and data quality and definitions.
Strong written and verbal communication skills, including the ability to turn ambiguous requests into clear requirements.
Developing knowledge of the product development lifecycle and exposure to discovery and requirements-definition activities.
Emerging knowledge of data analytics and data literacy.

Nice To Haves

Experience with Databricks, including notebooks, SQL warehouses, jobs or workflows, and Delta tables, or similar lakehouse analytics platforms.
Familiarity with semantic or metrics layers and governed self-service analytics patterns, such as metric definitions, data catalogs, and reusable models.
Basic proficiency in Python or a similar language for analytics or automation.
Experience with Jira or Confluence for backlog management and documentation.
Exposure to AI/ML or GenAI-enabled analytics and awareness of responsible AI considerations.

Responsibilities

Support delivery of analytics products that improve data discovery, usability, and trust for analysts, data scientists, and business users, including semantic layers, reusable metrics, curated datasets, and analytics tooling.
Assist with discovery and user research by gathering stakeholder input, contributing to journey maps, and synthesizing insights into problem statements and opportunities.
Help define requirements by writing epics and user stories with acceptance criteria describing analytics workflows, metric definitions, data logic, and reporting needs.
Partner with engineering and data teams to translate business questions into implementable analytics solutions, including KPI and metric definitions, dimensional modeling needs, and performance considerations.
Consider upstream dependencies such as ETL/ELT schedules, data quality checks, schema changes, lineage, and access controls, and help manage their impacts on downstream dashboards, models, and AI consumers.
Support development of product strategy and roadmaps.
Collect and analyze product performance metrics to inform decision-making.
Contribute to solution discovery with cross-functional teams, identifying potential solutions that address user needs and align with business goals.
Participate in product planning sessions, contribute ideas and insights, and assist with executing product initiatives and product launches.
Collaborate with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value.