AI Product Manager

troweprice; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

T. Rowe Price is seeking an AI Product Manager to lead AI-enabled transformations within Global Distribution.

You will translate ambitious concepts into practical product strategies, define business value, and partner with Technology and Data to drive measurable outcomes. Reporting to the Head of Global Distribution AI Strategy & Transformation, you will own high-conviction opportunities, guide cross-functional teams through design, delivery and adoption, and evolve roadmaps as AI capabilities

Job description

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business . With a career at the firm, y ou can expect opportunities to create real impact at work and in your community. Y ou'll enjoy resources to support your career path, a s well as compensation , benefits , and flexibility to enrich your life. Here, you'll find a collaborative culture that respect s and valu e s differences and colleagues who share a spirit of generosity .

Join us for the opportunity to g row and make a difference in ways that matter to you .

Role Summary

The AI Product Manager will lead some of Global Distribution's most consequential AI-enabled transformations, beginning with fundamental questions about how client experiences, commercial activities, and business workflows should operate in an AI-native world and carrying those ideas through to measurable business outcomes.

Reporting directly to the Head of Global Distribution AI Strategy & Transformation, this role will own one or more high-conviction transformation opportunities that require dedicated incubation and sustained cross-functional leadership. These initiatives may span business processes, client experiences, data, technology, roles, controls, and ways of working and will often develop over multiple quarters.

The AI Product Manager is expected to begin with the future state rather than the existing process: if this experience or workflow were being designed from scratch today, knowing what artificial intelligence can now make possible, how should it work?

From there, the role is accountable for turning that ambition into reality-building conviction around the vision, defining the business case and product strategy, sequencing a practical roadmap, making difficult product and design decisions, partnering with Technology and Data through delivery, driving organizational change, and demonstrating realized business value.

This is not a traditional backlog-management role. The AI Product Manager is a senior transformation leader who combines strategic imagination, product judgment, business acumen, AI fluency, and execution discipline to create materially different ways of working.

Responsibilities

Reimagine the Future:

Start with the business or client problem and develop a bold, coherent point of view on how the experience or workflow should operate as AI capabilities continue to advance.

Challenge assumptions embedded in existing processes, technology limitations, roles, handoffs, and operating models rather than simply automating the current state.

Develop a deep understanding of client needs, Associate workflows, business economics, data, technology, risk, and competitive dynamics relevant to the opportunity.

Translate emerging AI capabilities into practical strategic possibilities, identifying where AI can fundamentally change the experience rather than merely make existing activities faster.

Create clarity around what should remain distinctly human, what should be AI-enabled, what can be automated, and what work may no longer need to exist.

Turn the Vision into a Product Strategy:

Define the product vision, target-state experience or workflow, value proposition, business case, success measures, and strategic roadmap required to bring the transformation to life.

Break a large future-state ambition into a sequence of valuable releases and decisions that create momentum while preserving the long-term vision.

Establish clear product priorities and make deliberate trade-offs across business value, client experience, speed, scope, data, technology, risk, cost, and organizational readiness.

Translate ambiguous business needs into sufficiently clear product requirements, design principles, workflows, and decisions for Technology, Data, Design, Risk, and other delivery partners.

Continuously evolve the roadmap as AI capabilities, user needs, technical feasibility, and organizational learning change.

Lead End-to-End Delivery:

Maintain end‑to‑end accountability for the transformation from early concept through design, engineering delivery, launch, adoption, and ongoing evolution.

Serve as the primary connection across business leaders, Technology, Data, Design, Risk, Legal, Compliance, and other enterprise partners required to deliver the product.

Engage credibly in architecture, data, build-vs.-buy, integration, model, and design discussions and ensure technical decisions preserve the intended business outcome and sufficient fl