AI Portfolio, Governance & Value Realization Lead

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 .

Summary The AI Portfolio, Governance & Value Realization Lead will operate the management system for the Global Distribution AI portfolio - helping ensure GD identifies the highest-value AI opportunities, makes deliberate resource-allocation decisions, removes blockers, and measures realized business impact. Reporting to the Director, AI Enablement & Ecosystem, this role will serve as the central point of coordination for AI intake, portfolio visibility, prioritization, governance, executive reporting, and value realization across Global Distribution. The role will work across transformational AI products, targeted workflow interventions, Associate-built solutions, and scaled enablement initiatives. It will not own delivery of the initiatives; instead, it will establish the common discipline and transparency required to drive prioritization, assess level of effort required, and measure impact and outcomes.

AI Intake & Portfolio Management: Own and continuously improve the GD AI intake process, making it easy for Associates and leaders to surface AI opportunities. Structure incoming opportunities to clarify the business problem, potential value, sponsorship, readiness, feasibility, and intended outcomes. Maintain a single, transparent view of the GD AI opportunity backlog and active portfolio across delivery models. Coordinate initial triage and routing of opportunities to the appropriate path, including self-service enablement, Associate-built reusable solutions, targeted workflow interventions, transformational AI products, or future consideration. Prioritization & Resource Allocation: Develop fact-based recommendations for sequencing AI opportunities using agreed criteria such as potential business value, speed to impact, readiness, feasibility, reuse, sponsorship, and learning value. Facilitate recurring portfolio reviews with AI leaders and senior business stakeholders. Track capacity and dependencies across the portfolio and identify areas where resources are constrained or misaligned. Maintain clear records of major portfolio decisions, changes in priority, and rationale. Governance & Executive Reporting: Develop materials and insights for GD AI governance forums, including Steering Committee and other senior leadership discussions. Maintain an active view of key blockers, dependencies, decisions, accountable owners, and target resolution dates. Produce concise recurring portfolio updates that communicate progress, shipped capabilities, business outcomes, risks, and near-term priorities. Partner with the Head of GD AI Strategy & Transformation and broader team to communicate the GD AI story with evidence, clarity, and consistency. Value Realization & Performance Measurement: Establish common standards for defining business outcomes, baselines, KPIs, adoption measures, and value-realization expectations across the AI portfolio.