Supports analytics product development for embedded payments, including discovery, user research, requirements, metrics, semantic layers, dashboards, data quality, and AI-enabled analytics. Partners with product, engineering, data engineering, and AI/ML teams to define workflows, translate business needs into solutions, support roadmaps, and measure product performance.
Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. Grow your skills, participate in product planning, and define user workflows while working alongside experienced product managers. Don't miss this opportunity to be part of a dynamic team and promote innovation in customer experiences.
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.
As a Product Associate in Embedded Payments Analytics Product Management, you will help deliver analytics products that enable self-service insights and decisioning for internal teams. You’ll partner with product, engineering, data engineering, and AI/ML stakeholders to shape capabilities across SQL-driven analytics, Databricks-based data/compute, semantic/metrics layers, dashboards, and AI-enabled analytics experiences. While the role is analytics-forward, you will also develop working knowledge of upstream platform considerations (data quality, lineage, governance, and pipeline reliability) to ensure a great end-to-end user experience.
Job responsibilities
- 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
Required qualifications, capabilities, and skills
- 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
Preferred qualifications, capabilities, and skills
- 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.
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 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
A part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. The team of experts tackles complex challenges at every stage of the payment lifecycle. And their industry-leading solutions facilitate seamless transactions across borders, industries, and platforms.
Operating in over 160 countries and handling more than 120 currencies, J.P. Morgan Payments business is the largest processor of USD payments, with a daily transaction volume of $10 trillion.
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
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