Product Manager – Payments Sales Experience - Senior Associate

You are a strategic thinker passionate about driving solutions in Agentic AI Product Management for Payments Sales Experience. You have found the right team. As “ Product Management Professional” within our “Global Banking - Payments Sales Experience Product Team” , you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities • Partner with Design, Product, Data, and Technology teams to identify and prioritize product opportunities leveraging agentic AI, advanced analytics, and automation. • Plan for upstream and downstream implications of new features across the product experience, including data, compliance, and operational impacts. • Support user research, journey mapping, and market analysis to inform an AI-enabled product roadmap and define value-driving features. • Analyze and track product metrics (adoption, automation rates, cycle time, business impact) across the product lifecycle to drive continuous improvement. • Write clear requirements, epics, and user stories, collaborating with engineering, data science, and design teams to ensure delivery and adoption. • Champion responsible AI practices, including model governance, risk management, and user transparency, throughout the product lifecycle. Required qualifications, capabilities and skills • Minimum 6 years of experience or equivalent expertise in product management or a relevant domain area. • Proficient knowledge of the product development life cycle, with hands-on experience in AI-driven, data-intensive products and/or complex integration environments. • Experience across product lifecycle activities including discovery, requirements definition, and delivery of intelligent or automated features. • Demonstrated ability to learn data analytics, agentic AI concepts, and data literacy to inform product decisions and measure impact. • Strong collaboration skills with experience working across cross-functional teams (engineering, data science, UX, business). Preferred qualifications, capabilities and skills • Interest in growing and engaging in AI/ML product evolution .