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 Ecosystem & Distributed Innovation Lead will build and scale the environment that enables Global Distribution Associates to create reusable value with AI.
Reporting to the Director, AI Enablement & Ecosystem, this role will own the strategy and operating model for Associate-built reusable AI solutions, including Skills, assistants, agents, templates, playbooks, and emerging capabilities made possible by enterprise AI platforms.
The role will apply a product-management mindset to the broader GD AI ecosystem: understanding what Associates are building and using, identifying the highest-value solutions, helping creators improve promising capabilities, developing approaches to validation and responsible sharing, expanding the enterprise toolkit, and making successful solutions easy for others to discover and adopt.
The role will also serve as a visible AI evangelist across GD, translating fast-moving technology developments into practical opportunities and creating excitement and momentum around what Associates can now accomplish.
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 are using available AI capabilities, identify common patterns, and determine where central-team support can significantly improve 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 reusable AI solutions.
- Identify high-potential Associate-created solutions and partner with their creators to improve reliability, usability, instructions, evaluations, documentation, and scalability.
- Develop clear standards for when a solution can be broadly shared or endorsed within GD.
- Define criteria and pathways for graduating successful solutions into targeted workflow interventions or formal AI products when usage, complexity, risk, data requirements, or business importance warrant greater investment.
AI Ecosystem & Capability Roadmap:
- Maintain a deep understanding of enterprise-approved AI platforms, tools, connectors, agent capabilities, and emerging functionality.
- Identify gaps between available capabilities and the needs of GD Associates and reusable-solution creators.
- Translate those gaps into clear business requirements and roadmap priorities for Technology, Data, enterprise AI teams, Labs, and platform providers.
- Evaluate new capabilities through practical experimentation and determine where they can 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 practical guardrails for Associate-built reusable AI solutions.
- Help creators understand appropriate use of enterprise data, approved tools, validation expectations, and other relevant controls.
- Balance broad innovation and speed with appropriate 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 emerging 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 effective internal discovery experience or catalog so Associates can find solutions relevant to their work.
- Build a strong community of AI-forward builders and power users who help expand innovation beyond the capacity of the central team.
Mindset
- Highly AI-forward, curious, and hands-on; learns new capabilities by experimenting with them.
- Product thinker who obsesses over users, quality, adoption, and continuous improvement.
- Natural evangelist who can create energy while remaining grounded in practical business value.
- Comfortable balancing rapid innovation with enterprise risk and control requirements.
- Believes the central team should create more capable builders across the organization rather than become a bottleneck for innovation.
Qualifications
Required:
- Bachelor's degree or equivalent experience in business, technology, product management, information systems, or a related discipline and 8+ years of related experience
- Experience in AI/digital product management, innovation, emerging technology, transformation, or related roles.
- Strong hands-on understanding of generative AI, LLMs, agentic workflows, prompt/instruction design, reusable AI capabilities, and evaluation approaches.
- Demonstrated ability to identify user needs and translate emerging technology into practical products or business capabilities.
- Strong communication and presentation skills, with an ability to engage both technical specialists and broad business audiences.
- Experience working across business, technology, data, and risk stakeholders.
- Builder mindset with demonstrated ability to create new capabilities or programs from the ground up.
Preferred:
- Experience developing or managing platform ecosystems, marketplaces, developer communities, or reusable enterprise capabilities.
- Product-management experience in complex enterprise environments.
- Familiarity with AI governance and responsible AI practices.
FINRA Requirements
FINRA licenses are not required and will not be supported for this role.
Work Flexibility
This role is eligible for hybrid work, with up to one day per week from home.
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
$122,000.00 - $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers$135,000.00 - $230,000.00 for the location of: Washington, D.C.
$153,000.00 - $261,000.00 for the location of: New York, California
Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Commitment to Diversity, Equity, and Inclusion
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.
Benefits
We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits
Learn more about our benefits.
Skills Required
- 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 or digital product management, innovation, emerging technology, transformation, or related roles
- Hands-on understanding of generative AI, LLMs, agentic workflows, prompt or instruction design, reusable AI capabilities, and evaluation approaches
- Ability to identify user needs and translate emerging technology into practical products or business capabilities
- Strong communication and presentation skills for technical and broad business audiences
- Experience working across business, technology, data, and risk stakeholders
- Builder mindset with experience creating new capabilities or programs from the ground up
- Experience developing or managing platform ecosystems, marketplaces, developer communities, or reusable enterprise capabilities
- Product-management experience in complex enterprise environments
- Familiarity with AI governance and responsible AI practices
T. Rowe Price Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about T. Rowe Price and has not been reviewed or approved by T. Rowe Price.
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Retirement Support — Retirement offerings are positioned as a standout, including strong 401(k) matching/contributions and related long-term savings features. Employee stock purchase options are also cited as part of the overall rewards structure that adds value beyond base pay.
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Leave & Time Off Breadth — Time-off benefits are repeatedly framed as generous, including sizeable PTO allotments and multiple paid-leave categories. This breadth of leave is described as a meaningful component of the overall rewards package.
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Career-Linked Recognition & Rewards — Annual bonuses and performance-linked rewards are described as common components of total compensation. Tuition assistance and development support are also presented as rewards that reinforce longer-term career growth.
T. Rowe Price Insights
What We Do
T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on—now, and over the long term. Headquartered in Baltimore, Maryland, we provide an array of mutual funds, subadvisory services, separate account management, recordkeeping, and related services for individuals, advisors, institutions, and retirement plan sponsors. At T. Rowe Price, we believe in strategic investing. It has guided how we do business for more than 80 years, and it’s driven by independent thinking and rigorous research. So our clients can be confident that we’ll strive to select the right investments as we help them achieve their objectives. Strategic investing means that we don’t stop at surface level analysis. Instead, we go beyond the numbers. Our investment professionals travel the world, visiting the companies they evaluate. It’s this passion for exploration and understanding that has helped inform better decision-making and prudent risk management for our clients since its founding by Thomas Rowe Price Jr. in 1937.
