Treasury Product Manager - AI Products & Transformation

Bank of AmericaNew York, NY
$129,500 - $232,400Onsite

About The Position

Shape the next generation of AI-powered banking inside Global Payments Solutions by turning data, automation, and GenAI capabilities into trusted products that improve how GPS sells, serves, decides, and operates globally. This role will focus on high-value AI use cases that drive revenue enablement, productivity, client intelligence, decision quality, risk discipline, and adoption across markets, teams, and client segments. In this role you will shape the Data and AI strategy for Global Payment Solutions and influence investment priorities across senior leadership teams. You will identify high-value use cases, define solution patterns, establish operating discipline, and guide delivery from concept through global adoption. This is a senior change-agent role for a leader who can secure sponsorship, align competing priorities, and lead through ambiguity. The successful candidate can move from executive strategy to hands-on problem solving and turn emerging AI capabilities into scalable, governed, commercially relevant business products. You will serve as the bridge between senior business priorities and technical delivery, helping teams focus on the highest-value AI opportunities, manage risk and controls early, and create repeatable adoption patterns across Global Payment Solutions globally.

Requirements

  • 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 deliver production-ready solutions.
  • Proven ability to influence senior executives, engage clients, secure sponsorship, shape investment priorities, and drive adoption across matrixed Product, Technology, Risk, Compliance, Legal, Operations, Sales and client teams.
  • Commercially minded, execution-focused leader with strong judgement, communication skills, prioritization discipline, and ability to develop talent, standards, operating models, and reusable frameworks across and AI product portfolio.
  • Bachelor's Degree required.
  • Agile Practices
  • Application Development
  • DevOps Practices
  • Technical Documentation
  • Written Communications
  • Artificial Intelligence/Machine Learning
  • Business Analytics
  • Data Visualization
  • Presentation Skills
  • Risk Management
  • Policies, Procedures, and Guidelines Management
  • Adaptability
  • Collaboration
  • Consulting
  • Networking

Nice To Haves

  • Experience translating AI and data investment into executive-ready business cases, ROI frameworks, adoption metrics, and narratives tied to client value, revenue growth, productivity, and risk reduction.
  • Experience increasing adoption and business confidence through clear success metrics, stakeholder engagement, model governance, user feedback loops, training, and executive-ready value tracking.
  • Experience improving client and associate experience by reducing manual search, analysis, content creation, and workflow handoffs.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Design prompt frameworks, retrieval strategies, agentic workflows, and user experiences that improve accuracy, relevance, trust, usability, and adoption.
  • Translate AI and data investments into executive-ready business cases, ROI frameworks, adoption metrics, and narratives tied to client value, revenue growth, productivity, and risk reduction.
  • Shape the long-term Data and AI strategy for Global Payments Solutions, including product vision, roadmap, investment priorities, operating model, and success metrics tied to client value, revenue, productivity, risk reduction, and adoption.
  • Build AI product management practices, including prompt libraries, reusable workflows, intake routines, governance forums, adoption playbooks, value measurement, and responsible AI controls.
  • Lead product discovery and solution design, including prompt frameworks, retrieval strategies, payments data requirements, user journeys, business cases, client feedback, and production readiness plans.
  • Influence executive decision-making by presenting clear tradeoffs, risk considerations, adoption progress, measurable outcomes, and investment recommendations.
  • Drive execution across Product, Technology, Data Science, Risk, Compliance, Legal, Operations, Sales, and client-facing teams, removing blockers, managing tradeoffs, and accelerating delivery from strategy to global adoption.

Benefits

  • Access to paid time off
  • Resources and support to our employees
  • Discretionary incentive eligible
  • Annual discretionary award based on individual performance, line of business performance, and overall company success.
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