AI Ecosystem Lead for Distributed Innovation

troweprice; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

T. Rowe Price is seeking an AI Ecosystem & Distributed Innovation Lead to build and scale an environment that enables Global Distribution Associates to create reusable value with AI. Reporting to the Director, AI Enablement & Ecosystem, this role owns the strategy and operating model for Associate-built AI solutions.

The position applies a product-management mindset to identify high-value use cases, promote responsible sharing, and drive adoption of scalable AI capabilities across GD.

Responsibilities

• Distributed Innovation Strategy: Own the vision and roadmap for Associate-built reusable AI solutions across Global Distribution.
• Develop mechanisms that encourage broad experimentation and creation while focusing attention on recurring business needs and high-value use cases.
• Understand how Associates use available AI capabilities, identify patterns, and determine where central-team support improves quality or scale.
• Establish measures of ecosystem health, including creation, reuse, adoption, engagement, quality, and demonstrated business value.
• Reusable Solution Lifecycle: Build a scalable lifecycle to discover, assess, improve, validate, publish, promote, measure, maintain, and retire AI solutions.
• Identify high-potential Associate-created solutions and partner with creators to improve reliability and scalability.
• Develop clear standards for when a solution can be broadly shared or endorsed within GD.
• Define criteria and pathways for graduating solutions into AI products when usage, complexity, risk, data requirements, or business importance warrant greater investment.
• AI Ecosystem & Capability Roadmap: Understand enterprise AI platforms, tools, connectors, and emerging functionality.
• Identify gaps between available capabilities and the needs of Associates and reusable-solution creators.
• Translate gaps into clear requirements and roadmap priorities for Technology, Data, and platform providers.
• Evaluate new capabilities through practical experimentation and determine where they unlock meaningful new use cases or improve existing solutions.
• Responsible Scaling & Risk Management: Partner with Technology, Data, Risk, Legal, Compliance, and other control functions to establish guardrails for Associate-built AI solutions.
• Balance innovation and speed with management of operational, data, privacy, compliance, and AI-related risks.
• Identify systemic barriers to distributed innovation and work with enterprise partners to resolve them.
• Activation, Adoption & Community Engagement: Make AI capabilities understandable and exciting to Associates through examples, demos, showcases, experimentation, and practical storytelling.
• Partner with the AI Learning & Community Enablement Lead and AI Champions to identify creators, spread best practices, and drive adoption of high-value reusable solutions.
• Develop an internal discovery experience/catalog so Associates can find reusable AI solutions.

Job description

T. Rowe Price is seeking an AI Ecosystem & Distributed Innovation Lead to build and scale an environment that enables Global Distribution Associates to create reusable value with AI. Reporting to the Director, AI Enablement & Ecosystem, this role owns the strategy and operating model for Associate-built AI solutions.

The position applies a product-management mindset to identify high-value use cases, promote responsible sharing, and drive adoption of scalable AI capabilities across GD.