AI Ecosystem Lead: Scale Distributed Innovation (Hybrid)

T. Rowe Price; Baltimore (MD); Hybrid; USD 122,000 - 209,000; Full time

Benefits offered by this job

Hybrid work schedule

Annual bonus eligibility

Competitive compensation

Retirement plan

Job summary

T. Rowe Price is seeking an AI Ecosystem & Distributed Innovation Lead in Baltimore, MD. You will own the strategy for Associate-built reusable AI solutions, drive adoption, and partner with cross-functional teams to scale AI capabilities across Global Distribution.

The role requires 8+ years in AI/digital product management, strong communication, and a product mindset focused on delivering practical business value while balancing risk. A hybrid work arrangement is offered.

Qualifications

• Bachelor's degree or equivalent experience in business, technology, product management, information systems, or a related discipline.
• 8+ years of related experience.
• Experience in AI/digital product management, innovation, emerging technology, transformation, or related roles.
• Strong communication and presentation skills, with an ability to engage both technical specialists and broad business audiences.

Responsibilities

• Own the vision and roadmap for Associate-built reusable AI solutions across Global Distribution.
• Develop mechanisms that encourage broad experimentation and creation while focusing on recurring business needs and high-value use cases.
• Understand how Associates are using AI capabilities and identify patterns to improve quality or scale.
• Establish measures of ecosystem health (adoption, engagement, value).
• Build scalable lifecycle to discover, assess, publish, promote, measure, maintain, and retire AI solutions.

Skills

AI product management

Generative AI

LLMs

Agentic workflows

Prompt design

Reusable AI

Evaluation methods

Communication

Education

Bachelor's degree or equivalent

Job description

T. Rowe Price is seeking an AI Ecosystem & Distributed Innovation Lead in Baltimore, MD. You will own the strategy for Associate-built reusable AI solutions, drive adoption, and partner with cross-functional teams to scale AI capabilities across Global Distribution.

The role requires 8+ years in AI/digital product management, strong communication, and a product mindset focused on delivering practical business value while balancing risk. A hybrid work arrangement is offered.