at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
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**Product Manager, Payments Data & Analytics** leads product strategy, driving value for customers and guiding launches. Collaborate cross-functionally (data engineers, scientists, designers, sales, clients) to develop innovative, award-winning analytics products. Manage product backlog, define success metrics, and iterate for better outcomes. Ideal candidate has 5+ years experience, strong product lifecycle knowledge, data-driven mindset, and proficiency in SQL & Python. Familiarity with B2B payments, treasury, and ERP ecosystems is essential.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Payments Data & Analytics team, You will augment the capabilities of our award-winning solutions and develop innovative products that delight our clients. You will collaborate closely with cross-functional teams, including data engineers, data scientists, UI/UX designers, sales, and clients to ensure our products meet the evolving needs of our clients and the market.
Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Contributes to an award-winning, AI-powered analytics and forecasting product that supports Fortune 500 Treasury teams and CFO organizations with decision-grade insights.
- Partners with clients and internal stakeholders (UI/UX, engineering, data science, and commercial teams) to translate user needs into clear product requirements, journeys, and prioritized backlogs.
- Drives product discovery and design using empathetic, data-informed problem solving; validate concepts through feedback, prototypes, and measurable outcomes.
- Owns product strategy and prioritization by evaluating feature value vs. cost, aligning trade-offs to the product vision, and communicating rationale to stakeholders.
- Leads end-to-end delivery of product features from concept through launch and iteration, ensuring scope, quality, timeline, and adoption targets are met.
- Operates as a product owner accountable for outcomes, defining success metrics, monitoring performance, and continuously improving the product experience for internal and external users.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Execution-focused with a demonstrated ability to make sound decisions and drive outcomes in ambiguous, fast-changing environments.
- Strong knowledge of the product development lifecycle, including discovery, user research, requirements definition, and delivery.
- Exceptional problem structuring and communication skills, with experience preparing clear narratives and recommendations to support senior leadership decision-making.
- Proven experience in product management and/or product development within B2B payments, treasury, or adjacent financial products.
- Data-driven mindset with hands-on ability to translate data into business value; proficiency with analytical tools such as SQL and Python (or equivalent).
- Working knowledge of AI/ML concepts, and experience applying them to forecasting use cases (preferably cash flow forecasting).
- Familiarity with ERP and accounting software ecosystems, including how finance teams use these platforms and how products integrate with them.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
