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