Senior Product Associate, Data & Analytics-Intelligent Payments
Product, Data Science
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 Sr. Product Associate on our Intelligent Payments team, you'll help drive the future of payments by uniting a passion for product development, frontier AI models and toolkits, and rigorous, data-driven problem solving with the strength of our industry-leading payments franchise. This is a chance to turn cutting-edge technology into real-world impact for clients around the world.
Job responsibilities
- Apply data-driven problem solving to shape product roadmaps and deliver impactful solutions
- Partner across the organization to uncover opportunities where data and AI can elevate the payments experience for our clients
- Research and stay ahead of developments across the payments industry, AI models and tools, and project management best practices
- Analyze, track, and evaluate product metrics—balancing time, cost, and quality targets across the full product development life cycle
- Collaborate with engineering to define requirements, epics, and user stories that bring products to life
- Build strong stakeholder relationships that foster alignment and clarity around analytics strategies and product roadmaps
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
- Hands-on experience with product life cycle activities, including discovery and requirements definition
- Proficient knowledge of data analytics and strong data literacy
- Exceptional communication and collaboration skills that drive team success and stakeholder engagement
- A track record of delivering high-quality results while working independently and taking full ownership of projects
Preferred qualifications, capabilities, and skills
- Prior experience working within a highly matrixed, complex organization
- Proficiency in programming languages such as SQL, Python, or R
- Experience with analytics and business intelligence tools such as Tableau, Power BI, or similar
- A proven track record in the financial services industry, with a deep understanding of its unique challenges and opportunities
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
You have passion for product innovation with skills in data and analytics! You have found your team!