Investments AI Enablement Lead
T. Rowe Price · Baltimore, MD · 1 mo ago
Hybrid$111k–$166k/yrFull-time
About the role
Help shape the future of investment research at T. Rowe Price. We are seeking an Investments AI Enablement Lead to accelerate how investment professionals use AI to enhance research, decision-making, and portfolio insight.
Responsibilities
- Accelerate AI adoption across Investments
- Stay current on emerging AI technologies, tools, and industry best practices
- Design and deliver structured training through office hours, one-on-one coaching, and small-group sessions tailored to investment workflows
- Help investment professionals become productive quickly by providing practical guidance, best practices, and hands-on support across AI platforms
- Partner with colleagues in London and APAC to provide follow-the-sun support and promote globally consistent best practices
- Triage and prioritize incoming requests in partnership with Global Desktop Support and platform teams, while leading strategic AI workflow implementation for investors
- Improve Output Quality And Create Scalable Assets
- Review AI-assisted workflows with users and recommend improvements to prompting workflow design, tool selection, and methods to improve quality and accuracy
- Create reusable assets such as workflow templates, prompt libraries, playbooks and best practices for common investment research and portfolio workflows
- Refined workflows for high-value use cases such as earnings call analysis, meeting synthesis, research summarization, and investment idea generation
- Create educational materials to support broader training programs and adoption initiatives
- Guide Agentic Workflows And Influence Product Evolution
- Synthesize user feedback to identify the highest-value vendor capabilities and agentic opportunities, helping inform roadmap priorities
- Advises investors on when to use conversational AI tools versus structured agentic workflows, including task design, guardrails, and handoffs
- Partner with AI engineers, product teams, and platform specialists to support onboarding of new agents and improve capabilities through iterative feedback
- Help teams adopt new features and ensure advanced AI capabilities translate into measurable investment value
- Promote Responsible Use And Measurable Outcomes
- Reinforce safety, compliance, and data stewardship expectations in all training and workflow consultations
- Help users apply secure workflows for sensitive research content and data
- Measure outcomes such as time saved, user sentiment, and workflow improvements to evaluate impact and inform future training and product enhancements
- Deliver regular updates to leadership on adoption, usage patterns, and opportunities for improvement across investment teams
- Prepare and deliver high-quality presentations, reports, and stakeholder communications
Qualifications
- Bachelor’s degree (or equivalent practical experience) in Investments, Computer Science, Engineering, Data Science, Economics, Business, or rother analytical discipline
- Experience in product management, technology strategy, or investor enablement within an investment environment. Typically 2+ years of experience working with investment professionals (asset management, equity/credit research, or adjacent financial services)
- Clear passion for AI, demonstrated through meaningful hands-on use of multiple AI platforms across professional workflows
- Experience in AI enablement, product management, consulting, workflow transformation, technology strategy, investment research. or a related role supporting investment or financial services professionals
- Experience working closely with investment professionals or delivering technology solutions into investment, financial services, fintech or adjacent knowledge-work environments
- Strong understanding of modern AI technologies, including LLMs, generative AI, prompting best practices, and practical applications in investment management
- Exceptional communication and interpersonal skills, with the ability to influence stakeholders across levels and functions
- Proven ability to develop and lead programs in partnership with investment teams to drive meaningful outcomes
Preferred
- Master’s degree or MBA in Investments, a technical field, or another quantitative discipline
- Familiarity with emerging AI capabilities including agentic workflows, orchestration, retrieval-augmented generation (RAG), and evolving foundation model capabilities
- CFA charter holder or active CFA candidate is a plus