Senior Product Associate, Data & Analytics-Intelligent Payments

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