Lead Portfolio Manager, Investments - AI Execution

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, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you can expect equal opportunity and fair and consistent treatment for all.

Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you.

Serves as the end-to-end program lead for high value AI use cases and solutions in the Investments business unit. Operating at the intersection of strategy and execution, drives benefit achievement by leading initiation, planning, solution design and build, and value realization through key performance indicators and solution adoption. Leads complex AI initiatives spanning multiple functions, working across business, technology, data, risk, and corporate teams.

Engages other colleagues/resources and assigns appropriate responsibilities to support achievement of AI roadmap and project plan(s). Independently applies expert knowledge of advanced methodologies, selecting and applying high-level project management tools to conduct analyses, reporting, and related activities for assigned projects. Contributes to the development of internal protocols and processes used to carry out program management work. Responsible for program management activities, including contingency/dependency tracking, status reporting, issue/risk identification and tracking, scope management, estimation, and internal/external stakeholder management, while ensuring delivery is on time and within budget.

Provides oversight to workstream/task leads within the program; resolves any escalated project risks, issues, and dependencies. This role requires a leader who can operate at pace, navigate ambiguity, influence senior stakeholders, and drive disciplined execution across an evolving AI landscape.

Serves as the end-to-end program lead for high-value AI use cases. Translates AI strategy into actionable execution plans, ensuring alignment with business priorities, technology architecture, and data capabilities. Leads initiation, integrated planning, solution design coordination, execution, and delivery through value realization. Act as a bridge between strategy and execution, partnering closely with AI Strategy leads and business sponsors to operationalize strategic priorities into sequenced, deliverable roadmaps.

Drive prioritization, tradeoff decisions, and execution approaches across competing demands and evolving AI opportunities. Builds and synthesizes project plans, budgeting and forecasting models, or resource plans requiring significant stakeholder management skills and interpretation of diverse and varied information. Monitors market changes and stakeholder needs; recommends plan adjustments to meet changing needs that optimize costs, benefits, and speed of delivery. Develops statements of work, stakeholder management plans, guiding principles, project goals, risks, resource allocation, and roles and responsibilities for assigned projects.

Secures, leads, motivates, and inspires the internal and external resources required to effectively deliver the program. May participate in the evaluation, selection, and management of external resources or vendors. Provides transparency in AI use case progress and effectively anticipates and mitigates major risks across the project life cycle. Proactively crafts feasible solutions to combat risks and issues. Exercises sound judgment, balancing risks and making prompt decisions in ambiguous or difficult situations.

Develops accurate, decision-ready materials and recommendations for senior leadership, with strong judgment and attention to detail. Drives work forward with an appropriate level of independence, escalating issues thoughtfully while minimizing the need for day-to-day leadership direction. Manages communication with management at a detailed functional level and discusses/resolves issues. Works with all required functions and groups to effectively plan and execute the project(s).

May coordinate resources across organizational boundaries. Trains and coaches project teams in execution methodologies and promotes adoption of best practices.…