AI Products & Transformation Manager

Bank of America•New York, NY

1d•$105,700 - $164,700•Onsite

About The Position

At Bank of America, the AI Products & Transformation Manager supports the Data and AI agenda for Global Payments Solutions (GPS), translating business priorities into focused, execution-ready use cases. The role defines solution approaches, coordinates delivery, and moves initiatives from concept through adoption, connecting business needs with technical delivery while addressing risk and controls early. This hands-on product leadership role focuses on turning data, automation, and generative AI capabilities into trusted products that improve how GPS sells, serves, makes decisions, and operates globally. It advances use cases that support revenue enablement, productivity, client intelligence, decision quality, risk discipline, and adoption across markets, teams, and client segments. Representative initiatives include automating client reviews, personalizing sales recommendations, synthesizing client feedback, improving billing workflows, and accelerating self-service insights through governed production delivery. The role prioritizes AI opportunities using value, feasibility, governance, and adoption criteria; designs prompt frameworks, retrieval strategies, agentic workflows, and user experiences; and establishes metrics, stakeholder engagement, feedback loops, training, and executive-ready value tracking. It also translates AI and data investments into business cases and ROI narratives tied to client value, revenue growth, productivity, and risk reduction. The position is based at Bank of America Tower, One Bryant Park, New York, NY. The role is 1st shift, 40 hours per week, and is eligible for benefits and participation in the annual discretionary incentive plan. The annualized salary range is $105,700 to $164,700, with offers determined based on experience, education, and skill set.

Requirements

Bachelor’s degree required.
3–5 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.
Strong understanding of model behavior, accuracy, adoption, controls, and responsible use.
Strong data, technology, and payments foundation.
Experience partnering with engineers, architects, data scientists, analytics teams, platform owners, and 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 teams.
Strong judgment, communication skills, prioritization discipline, and ability to develop talent, standards, operating models, and reusable frameworks across an AI product portfolio.
Commercially minded and execution-focused; able to work across teams, manage ambiguity, and translate emerging AI capabilities into practical, governed business solutions.

Nice To Haves

Experience translating 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.
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

Support the Data and AI product roadmap for Global Payments Solutions by translating business priorities into use cases, requirements, delivery plans, and success measures.
Maintain AI product management routines, including prompt libraries, reusable workflows, intake processes, governance checkpoints, adoption playbooks, value measurement, and responsible AI controls.
Lead focused discovery and solution design, including prompt frameworks, retrieval approaches, payments data requirements, user journeys, business cases, user feedback, and production-readiness plans.
Prepare concise updates for senior stakeholders covering tradeoffs, risks, adoption progress, measurable outcomes, and recommendations.
Coordinate execution across Product, Technology, Data Science, Risk, Compliance, Legal, Operations, Sales, and client-facing teams; escalate blockers and keep delivery moving.
Prioritize AI opportunities using value, feasibility, governance, and adoption criteria.
Deliver and embed AI in high-volume workflows such as treasury reviews, sales preparation, billing validation, client servicing, and operational controls.
Pair AI delivery with success metrics, stakeholder engagement, model governance, user feedback loops, training, and executive-ready value tracking to increase adoption and business confidence.
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.