Customer Insights - Payments Data & Analytics - Senior Product Associate

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 on the Customer Insights team within Payments Data & Analytics you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. You will work on day-to-day product execution —prioritizing analytics use cases, managing ad-hoc projects, and ensuring stakeholders (internal and external) receive timely, actionable insights. Ideal candidates are also passionate about building and scaling our next generation of AI powered features and products, with a track record of driving adoption from concept through launch and continuous improvement. Job responsibilities: Expect to build AI conversational analyst to deploy AI into product effectively across different digital channels 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 Establish product KPIs/OKRs and analytics instrumentation to measure usage, satisfaction, and business impact; run experiments and A/B tests to improve engagement. Optimize adoption to drive desired business outcomes. Manage individual product modules and team workstreams to push product initiatives into the market including alternative forms of data delivery and AI capabilities Support achieving sales goal targets, supports commercialization by analyzing client target lists, participate in internal and external events, build and maintain competitive intelligence, and identify new data sources to keep the product relevant and differentiated. Collaborate proactively with cross-functional teams including engineering, design, sales, and marketing to ensure seamless product delivery and client satisfaction Champion customer-centric design and feedback loops, leveraging insights to continuously refine and enhance product offerings 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 Technical expertise and experience in data analytics (e.g., SQL or Python) – candidate needs to have the ability to analyze data to make decisions Management consulting skillset (problem solving, impact orientation, business understanding, program management, executive presence, top down communication, presentation skills) Demonstrate strong business acumen and the ability to translate complex data insights into actionable product strategies Exhibit leadership in driving cross-team collaboration and fostering a culture of innovation and continuous improvement Apply rigorous prioritization skills to balance competing demands and maximize product impact Utilize exceptional project management abilities to deliver products on time and within budget Familiarity with AI/ML concepts (supervised/unsupervised learning, evaluation metrics, drift, explainability) and translating them into product features and controls. Familiarity with Evaluation Framework and monitoring for AI use cases Preferred qualifications, capabilities, and skills : Demonstrated prior experience working in a highly matrixed, complex organization Bachelor’s degree in a quantitative, technical, or business discipline, Masters in math, statistics, analytics or Business is preferred Experience in the payments industry and/or fintech or technology-enabled industries is a plus Experience in creating solutions leveraging AI and fluency with the different AI models (OpenAI, Anthropic, Google) Excellent communication skills with the ability to articulate complex technical topics to non-technical audiences and build consensus across diverse stakeholders Possess a proven track record of launching and scaling data-driven products in a commercial environment Show adaptability and resilience in a fast-paced, evolving market landscape