Director, Applied AI

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

Job summary

T. Rowe Price is seeking a Director of Applied AI to lead Global Distribution's AI-enabled transformation. You will manage two permanent pods, partnering with business teams to rapidly redesign workflows using approved AI tools and enterprise capabilities.

Reporting to the Head of Global Distribution AI Strategy & Transformation, you will ensure repeatable delivery, remove blockers, and coach Pod members to build faster, more capable solutions at pace.

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 Director, Applied AI will lead Global Distribution's dedicated capability for rapidly applying artificial intelligence to targeted business workflows.

Reporting to the Head of Global Distribution AI Strategy & Transformation, this leader will manage two permanent, multidisciplinary Implementation Pods. Each Pod will bring together an AI Process Transformation Lead, an Applied AI Solutions Lead, and an AI Adoption & Integration Lead to work side-by-side with a committed business team.

The Director is accountable for making this model work repeatedly and at pace: selecting the right engagements, creating the conditions for successful co-creation with the business, maintaining a high bar for execution, removing blockers, and building a team that becomes faster and more effective with every sprint.

This is not a traditional program-management role. The Director will lead a hands-on transformation capability that moves quickly from understanding a workflow to designing, building, launching, and embedding a materially better way of working.

Responsibilities

• Build a High-Performing Applied AI Capability:
  • Lead two permanent Implementation Pods that rapidly redesign targeted workflows using approved AI tools and enterprise capabilities.
  • Establish a simple, repeatable delivery approach that preserves urgency, deep business partnership, clear accountability, and measurable outcomes.
  • Build a team culture defined by high standards, low ego, intellectual curiosity, rapid learning, and shared accountability for the result.
  • Ensure the Process Transformation, AI Solutions, Adoption, and business perspectives are tightly integrated throughout each engagement.
• Select the Right Pod Engagements:
  • Partner across the GD AI team to select opportunities that are focused enough to move quickly, meaningful enough to matter, measurable within a reasonable period, and feasible using approved tools, data, and control boundaries.
  • Ensure genuine business pull before beginning an engagement: a committed business owner and workflow steward, dedicated Associate capacity carved out to support the sprint, active participation throughout design and testing, and a ready/willing/able commitment to adopt and sustain the resulting way of working.
  • Redirect opportunities that are too broad, immature, technically complex, or insufficiently sponsored to the appropriate alternative delivery path rather than forcing them through the Pod model.
• Drive Fast, High-Quality Execution:
  • Maintain accountability for the overall quality, pace, and outcomes of Pod engagements from kickoff through launch and handoff.
  • Help teams make rapid, pragmatic decisions when information is incomplete, while ensuring material data, technology, risk, or control issues are addressed appropriately.
  • Remove blockers and secure timely support from Technology, Data, Risk, business leaders, and other partners when needed.
  • Keep teams focused on the primary business outcome rather than allowing engagements to expand into unnecessary scope or complexity.
• Make the Model Better Every Time:
  • Capture reusable process, AI, adoption, and delivery patterns that allow future engagements to move faster and produce stronger outcomes.
  • Coach and develop Pod members so they build increasing judgment, versatility, and confidence across a wide variety of business challenges.
  • Identify recurring opportunities that should become reusable AI capabilities or larger transformational products rather than repeatedly solved one workflow at a time.
  • Partner with the AI Portfolio, Governance & Value Realization team to assess adoption and realized business impact after launch.

Mindset

• Integrator: brings analytical, imaginative, and people-oriented perspectives together into one high-performing team.
• Creates urgency without creating chaos.
• Highly AI-forward and excited by what rapidly evolving capabilities make possible.
• Values team outcom