As a Product Associate in Embedded Payments, you play a crucial role in supporting the product development process and contributing to the discovery of innovative solutions that address customer needs. Working closely with the product management team and cross-functional partners, you contribute your skills and insights to help ensure the success of our product offerings. As a valued member of the team, you have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.
- Supports delivery of analytics products that improve discovery, usability, and trust of data for analysts, data scientists, and business users (e.g., semantic layers, reusable metrics, curated datasets, and analytics tooling).
- Assists with discovery and user research by gathering stakeholder input, contributing to journey maps, and synthesizing insights into clear problem statements and opportunities.
- Helps define requirements by writing epics and user stories (with acceptance criteria) that describe analytics workflows, metric definitions, data logic, and reporting needs.
- Partners with engineering and data teams to translate business questions into implementable analytics solutions, including KPI/metric definitions, dimensional modeling needs, and performance considerations.
- Considers upstream dependencies (ETL/ELT schedules, data quality checks, schema changes, lineage, and access controls) and helps manage impacts to downstream dashboards, models, and AI consumers.
- Supports the development of our product strategy and roadmap
- Collects and analyzes metrics on product performance to inform decision-making
- Contributes to solution discovery through collaboration with cross-functional teams to identify potential solutions that address user needs and align with business goals
- Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches
- Collaborates with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value
- 1+ years of experience (or equivalent internship/project experience) in product management, analytics, BI, data engineering, or software delivery.
- Foundational knowledge of the product development lifecycle and comfort operating in Agile teams.
- Working proficiency in SQL and ability to validate metric logic, perform exploratory analysis, and troubleshoot data issues.
- Familiarity with analytics concepts: KPIs/metrics, reporting, basic dimensional modeling, and the importance of data quality and definitions.
- Strong written and verbal communication skills, including the ability to turn ambiguous requests into clear requirements.
- Developing knowledge level of the product development life cycle
- Exposure to product life cycle activities including discovery and requirements definition
- Emerging knowledge of data analytics and data literacy
- Experience with Databricks (notebooks, SQL warehouses, jobs/workflows, Delta tables) or similar lakehouse analytics platforms.
- Familiarity with semantic/metrics layers and governed self-service analytics patterns (e.g., metric definitions, data catalogs, reusable models).
- Basic proficiency in Python (or similar) for analytics or automation.
- Experience with Jira/Confluence for backlog management and documentation.
- Exposure to AI/ML or GenAI-enabled analytics and awareness of responsible AI considerations.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- 1+ years of experience, or equivalent internship/project experience, in product management, analytics, BI, data engineering, or software delivery
- Foundational knowledge of the product development lifecycle and comfort operating in Agile teams
- Working proficiency in SQL, including metric validation, exploratory analysis, and data troubleshooting
- Familiarity with KPIs, metrics, reporting, basic dimensional modeling, and data quality
- Strong written and verbal communication skills
- Ability to turn ambiguous requests into clear requirements
- Developing knowledge of the product development lifecycle
- Exposure to product lifecycle activities, including discovery and requirements definition
- Emerging knowledge of data analytics and data literacy
- Experience with Databricks or similar lakehouse analytics platforms
- Familiarity with semantic or metrics layers and governed self-service analytics
- Basic proficiency in Python or similar for analytics or automation
- Experience with Jira and Confluence for backlog management and documentation
- Exposure to AI/ML or GenAI-enabled analytics and responsible AI considerations
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
-
Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
-
Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
.png){kind=logo}
