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 Director, AI Enablement & Ecosystem will lead the capabilities that enable Global Distribution (GD) to adopt, scale, and continuously expand the value created through artificial intelligence.
Reporting to the Head of Global Distribution AI Strategy & Transformation, this leader will oversee the operating system that supports the GD AI portfolio, including intake and prioritization, governance and value realization, scaled learning and adoption, the AI Champions and broader community ecosystem, and the development of Associate-built reusable AI solutions.
The role will lead a small team with distinct accountability for portfolio and governance, AI ecosystem and distributed innovation, and learning and community enablement. The Director will connect these capabilities into an integrated system that makes it easy for Associates to identify opportunities, build AI fluency, create and adopt reusable solutions, and demonstrate measurable business value.
The position will partner closely with AI Product Managers, the Applied AI & Implementation team, business leaders, Technology, Data, Risk, Human Resources, enterprise AI teams, and external platform partners.
Responsibilities
AI Enablement Strategy & Operating Model:
- Translate the GD AI strategy into an integrated roadmap for scaled enablement, distributed innovation, portfolio management, and adoption.
- Establish the operating model, standards, processes, and decision rights required to support AI activity across Global Distribution.
- Ensure the function evolves as AI capabilities, enterprise platforms, Associate needs, and regulatory and risk requirements change.
- Create clear connections across the GD AI portfolio so that lessons from Associate experimentation, targeted workflow interventions, and transformational products inform one another.
Portfolio, Governance & Value Realization:
- Oversee an always-on intake and prioritization capability that enables Associates and leaders to easily surface high-value AI opportunities.
- Maintain transparent portfolio governance and decision processes that concentrate scarce resources on opportunities with the strongest combination of value, readiness, feasibility, and strategic importance.
- Establish consistent expectations for business cases, success measures, baselines, adoption metrics, and realized-value tracking across AI initiatives.
- Support senior governance forums with clear portfolio reporting, decisions, risks, dependencies, and evidence of measurable business impact.
AI Ecosystem & Distributed Innovation:
- Own the strategy for enabling Associates to create, discover, improve, share, and adopt reusable AI solutions using approved enterprise capabilities.
- Establish a scalable lifecycle for Associate-built AI solutions, including discovery, validation, improvement, certification, publishing, measurement, maintenance, retirement, and graduation to more formal delivery models where appropriate.
- Identify recurring capability gaps and partner with Technology, Data, enterprise AI teams, and platform providers to expand the tools, integrations, data access, and functionality available to GD.
- Promote responsible experimentation while establishing appropriate standards and controls for reusable AI solutions.
Learning, Adoption & Community:
- Lead the scaled AI learning and capability-building strategy for Global Distribution, including role-based learning, manager enablement, advanced learning opportunities, and ongoing reinforcement.
- Evolve the AI Champions Network and broader communities into effective mechanisms for learning, innovation, feedback, and adoption.
- Ensure major platform and capability changes are supported by thoughtful change management, communications, learning, and adoption programs.
- Establish measures of AI adoption, proficiency, community health, and increasingly sophisticated use of AI across GD.
Enterprise Engagement & People Leadership:
- Serve as a senior business partner to Technology, Data, Risk, HR, enterprise AI teams, and platform providers on capabilities required to advance the GD AI strategy.
- Lead, coach, and develop a high-performing team with clear accountability across portfolio management, distributed innovation, and organizational capability building.
- Communicate progress, emerging opportunities, risks, and business impact to senior leaders with clarity and credibility.
- Stay current on emerging AI capabilities and translate relevant developments into practical opportunities for Global Distribution.
Mindset
- Builder who creates scalable systems rather than relying on heroic individual effort.
- Highly curious about emerging AI capabilities and focused on converting them into business value.
- Comfortable moving quickly through ambiguity while establishing appropriate structure and controls.
- Strong bias toward measurable outcomes, learning, reuse, and continuous improvement.
Qualifications
Required:
- Bachelor's degree or equivalent experience; advanced degree preferred.
- 10+ years of experience across AI/digital transformation, product management, strategy, operating-model design, innovation, or related fields.
- Demonstrated experience building and scaling new organizational capabilities or operating models.
- Strong understanding of generative AI, enterprise AI platforms, agentic workflows, and emerging AI-enabled ways of working.
- Experience leading adoption, change, or capability-building efforts across complex organizations.
- Strong executive communication and stakeholder-management skills across business and technical audiences.
- 5+ years of people leadership experience preferred.
Preferred:
- Experience in asset management, financial services, or another regulated industry.
- Experience building enterprise communities of practice, distributed innovation models, or reusable-product ecosystems.
- Familiarity with AI governance, responsible AI practices, and enterprise technology architecture.
- Demonstrated track record translating emerging technology into measurable business outcomes.
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.
$159,000.00 - $272,000.00 for the location of: Maryland, Colorado, Washington and remote workers$175,000.00 - $299,000.00 for the location of: Washington, D.C.
$199,000.00 - $339,000.00 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
- Advanced degree
- 10+ years of experience across AI or digital transformation, product management, strategy, operating-model design, innovation, or related fields
- Experience building and scaling new organizational capabilities or operating models
- Strong understanding of generative AI, enterprise AI platforms, agentic workflows, and emerging AI-enabled ways of working
- Experience leading adoption, change, or capability-building efforts across complex organizations
- Strong executive communication and stakeholder-management skills across business and technical audiences
- 5+ years of people leadership experience
- Experience in asset management, financial services, or another regulated industry
- Experience building enterprise communities of practice, distributed innovation models, or reusable-product ecosystems
- Familiarity with AI governance, responsible AI practices, and enterprise technology architecture
- Track record translating emerging technology into measurable business outcomes
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.
