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.