Own end-to-end product lifecycle for Financials capabilities within Client360, integrating internal and third-party data into a trusted reporting layer. Drive discovery, user research, requirements, and agile delivery; partner with engineers to design and ship production-ready data products. Track product metrics, build SQL prototypes, ensure data quality and controls, and apply AI-assisted SDLC practices to support traceability and resiliency.
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.
As a Senior Product Associate in Client360, you play a key role in delivering core data products used across the firm every day. You will own the end-to-end product lifecycle for Financials capabilities—integrating data from internal product platforms and third-party providers into a single, trusted financial reporting layer—and delivering a conformed “silver profile” that downstream platforms rely on. This is a hands-on product role focused on shipping scalable, production-ready capabilities (not an advisory or analytics-only role) and requires strong operating discipline, technical fluency, and cross-functional leadership. As part of Client360, you will champion user-centric service delivery, maximize the value and usability of data and AI solutions, and drive business satisfaction across the Commercial & Investment Bank (CIB)
Job responsibilities
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports 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
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- Collaborate with technology leads and engineers on solution design; produce lightweight requirements/design artifacts to enable implementation.
- Support agile ceremonies (refinement, sprint planning, demos, retros) and work day-to-day with scrum teams to drive execution and remove blockers.
- Coordinate with upstream and downstream application/data teams to ensure end-to-end alignment, data quality, controls, and operational readiness.
- Build and validate SQL-based reporting and prototypes to support analysis, performance measurement, and troubleshooting of data issues.
- Leverage enterprise-authorized AI capabilities to accelerate analysis and documentation while validating outputs and handling data in accordance with sensitivity, security, and governance requirements.
- Apply reuse-first, AI-assisted SDLC practices to strengthen requirement quality and data pipeline quality (e.g., test/control evidence generation), supporting traceability, auditability, resiliency, and security expectations
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
- Knowledge of the firm’s business landscape, including how the CIB engages clients across products and services.
- Proven experience delivering complex, cross-functional initiatives spanning data analysis, financial reporting, and technology delivery.
- Demonstrated ability to document operating models/processes and drive change through strong partnerships and stakeholder management.
- Strong analytical toolkit and agile mindset; ability to query and analyze data using tools/languages such as SQL (and platforms such as Databricks; tools such as Alteryx, where applicable).
- Execution mindset with high attention to detail and ability to deliver against defined requirements.
- Strong problem-solving skills with ability to synthesize large datasets into clear insights and crisp messaging.
- Strong written and verbal communication skills with ability to tailor messaging to different audiences; proven ability to hold partners accountable for quality deliverables.
Preferred qualifications, capabilities, and skills
- Experience working in a highly matrixed, complex organization.
- Extensive experience in Data management, data operations, or CRM systems within a financial institution.
- Advanced degree in Computer Science, Data Science, Business, or a related field.
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
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
Financial Services
Own translation of cross-domain data into consumer-facing data products across the full product development lifecycle: requirements capture, schema design, data quality, rapid Proof of Product, and go-to-market. Partner with business initiative leads, data domain leads, product managers and data scientists to aggregate data, derive business metrics, support front-end views, analytics platforms and AI services, and drive adoption across CIB client segments.
Top Skills:
Ai/MlAlteryxGraphPrompt Engineering
AdTech • Big Data • Digital Media • Marketing Tech
Partner with sales and account teams to design, configure, and optimize scalable CRM workflows and automations in Salesforce. Gather requirements, implement solutions, test and rollout enhancements, support data management and lead routing, and evaluate GenAI use cases to improve productivity. Collaborate with global IS, RevOps, and integration/development teams and provide documentation and user support.
Top Skills:
Dynamics 365Generative AiJavaScriptLow-Code/No-Code AutomationPythonSalesforceSalesforce FlowSOQLSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead sales strategy and execution for Identity, Audiences, Insights and Measurement within Media & Entertainment. Drive revenue growth, bookings, adoption, and upsell across publishers, platforms, CTV, audio, and adtech partners. Manage sales teams, pipeline, forecasting, KPI tracking, quota attainment, and coaching. Build executive relationships, resolve escalations, collaborate cross-functionally on pricing and product, and optimize revenue performance.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
