Director, AI Enablement & Ecosystem

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, 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,