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Investment AI Vendor Research Analyst

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: T. Rowe Price
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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

Shape the next generation of investment intelligence by identifying, evaluating, and integrating the world’s leading AI technologies into T. Rowe Price’s research and investment ecosystem. You will guide how external innovation becomes internal advantage bridging cutting‑edge vendor capabilities with the needs of all investors.

As an Investment AI Vendor Research Analyst, you will support the discovery, assessment, and onboarding of best‑in‑class AI platforms, ensuring our investment teams have access to the most powerful, secure, and advanced tools in the market. This role sits at the intersection of technology strategy and investment insight, combining deep curiosity about emerging AI systems with a strong understanding of investor workflows, data architecture, and enterprise delivery.

Responsibilities

Support the Evaluation and Integration of AI Vendors
  • Identify, assess, and shape high value AI opportunities aligned with T. Rowe Price’s investment strategies.
  • Create and independently manage a structured vendor evaluation framework encompassing performance, security, compliance, cost, interoperability, and investment relevance. Advance vendor choices that maximize strategic and financial value.
  • Lead due diligence, proof‑of‑concept execution, and enterprise‑scale onboarding.
  • Use sophisticated analytical thought to translate emerging vendor capabilities into strategic opportunities that enhance research discovery, modeling, and portfolio decision‑making.
Architect And Operationalize Vendor Strategy
  • Create and maintain a comprehensive roadmap for AI and data vendor engagement across the investment organization.
  • Drive the integration of selected vendors into enterprise platforms, ensuring seamless interoperability with existing data and modeling pipelines.
  • Collaborate with Technology and TRP Labs teams to ensure proper governance, observability, and lifecycle management of vendor‑provided AI systems.
  • Support contract negotiations to maximize the impact of vendor partnerships on strategic objectives.
Drive Continuous Improvement And Thought Leadership
  • Maintain a deep understanding of the AI vendor landscape.
  • Proactively identify new market entrants, pilot promising technologies, and contribute to the firm’s long‑term AI investment vendor strategy.
Partner, Influence, And Communicate
  • Build trusted relationships with analysts, portfolio managers, and leaders to understand evolving needs and identify value creation opportunities through external technologies.
  • Act as an advisor to senior leadership and present vendor analyses, tradeoffs, and recommendations in clear, data‑driven, and business‑focused narratives.
  • Serve as a liaison between vendors and internal teams, ensuring successful adoption, compliance alignment, and measurable impact from each integration.
Qualifications Required
  • B.S. in Finance, Computer Science, Engineering, Data Science, or related field AND
  • Previous experience managing vendor evaluations, negotiating requirements, and overseeing enterprise integrations.
Preferred
  • Experience implementing AI in large‑scale enterprise environments, including…
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