AI Portfolio, Governance & Value Realization Lead

troweprice; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

T. Rowe Price is seeking an AI Portfolio, Governance & Value Realization Lead to operate the management system for the Global Distribution AI portfolio, ensuring high‑value opportunities are identified and prioritized.

Reporting to the Director, AI Enablement & Ecosystem, the role coordinates AI intake, portfolio visibility, governance, and value realization across Global Distribution; it builds the discipline to measure impact rather than deliver initiatives.

Qualifications

• Experience leading AI portfolio governance and investment prioritization.
• Ability to coordinate cross-functional stakeholders at senior levels.
• Proven capability to define KPIs and track value realization.

Responsibilities

• AI Intake & Portfolio Management: govern intake and maintain a transparent backlog.
• Prioritization & Resource Allocation: drive sequencing using business value and readiness.
• Governance & Executive Reporting: craft updates for senior leadership.
• Value Realization & Performance Measurement: establish outcomes, baselines, and adoption metrics.
• Operating Discipline & Continuous Improvement: improve governance templates and processes.

Skills

Portfolio management

AI governance

Stakeholder management

Executive reporting

Prioritization

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, 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'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.

Role 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.

Responsibilities

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.
• Partner with delivery owners and business sponsors to ensure appropriate success measures are established before implementation.
• Coordinate post-launch value reviews, including agreed 30- and 60-day checks where appropriate.
• Maintain an aggregated view of expected and realized value, including productivity, capacity, cost, quality, revenue/client outcomes, adoption, and other relevant measures.
• Identify initiatives where realized value is diverging from expectations and surface recommendations for intervention, refinement, scaling, or retirement.

Operating Discipline & Continuous Improvement

• Develop practical templates, tools, routines, and reporting mechanisms that improve portfolio transparency without creating unnecessary bureaucracy.
• Identify recurring delivery blockers or patterns across initiatives and escape opportunities for systemic resolution.
• Continuously improve portfolio governance as GD's AI maturity and volume of activity increase.
• Build strong working relationships across AI P