Treasury Product Manager - AI Products & Transformation

Bank of America Bank of America · Banking · New York, NY

Product Manager for AI Products & Transformation within Global Payments Solutions at Bank of America. The role focuses on turning data, automation, and GenAI into trusted products to improve sales, service, decision-making, and operations. Responsibilities include developing AI-enabled capabilities, prioritizing AI use cases, delivering outcomes through AI embedding, designing prompt frameworks and agentic workflows, and translating AI investments into business cases. The role requires shaping AI strategy, building AI product management practices, leading product discovery, influencing executive decisions, and driving execution across various teams.

What you'd actually do

  1. Develop AI-enabled capabilities that automate client reviews, personalize sales recommendations, synthesize client feedback, improve billing workflows, and accelerate self-service insights through governed production delivery.
  2. Prioritize and convert a broad AI opportunity pipeline into execution-ready use cases by applying value, feasibility, governance, and adoption criteria across responsible growth, operational efficiency, and client experience.
  3. Deliver measurable productivity, revenue enablement, and risk reduction outcomes by embedding AI into high-volume workflows such as treasury reviews, sales preparation, billing validation, client servicing, and operational controls.
  4. Increase adoption and business confidence by pairing AI delivery with clear success metrics, stakeholder engagement, model governance, user feedback loops, training, and executive-ready value tracking.
  5. Design prompt frameworks, retrieval strategies, agentic workflows, and user experiences that improve accuracy, relevance, trust, usability, and adoption.

Skills

Required

  • 6 years of experience across AI transformation, data product management, technology delivery, payments, treasury services, transaction banking, cash management, receivables, or financial services, with demonstrated success launching scalable products in complex enterprise environments.
  • Hands-on experience designing, testing, and optimizing prompts, AI enabled user experiences, RAG patterns, agentic workflows, and GenAI capabilities, with strong understanding of mode behavior, accuracy, adoption, controls, and responsible use.
  • Strong data, technology, and payments foundation, including experience partnering with engineers, architects, data scientists, analytics teams, platform owners, governance, risk, and control partners to deli

What the JD emphasized

  • governed production delivery
  • responsible growth
  • operational efficiency
  • client experience
  • risk reduction
  • model governance
  • user feedback loops
  • responsible AI controls
  • complex enterprise environments
  • responsible use

Other signals

  • AI-enabled capabilities
  • GenAI capabilities
  • AI opportunity pipeline
  • embedding AI into workflows
  • prompt frameworks
  • retrieval strategies
  • agentic workflows
  • Data and AI strategy
  • AI product management practices
  • responsible AI controls