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 exposure to AI governance or ethics frameworks. Experience contributing to technology standards or policies (e.g., model risk management, AI ethics).
• Familiarity with procurement processes and vendor lifecycle management in highly regulated industries.
• Solid understanding of modern AI/ML technologies (including generative AI and large language models, multi-agent systems, and data pipeline orchestration) and their business applications. Able to identify where AI can drive efficiency and innovation.
• Demonstrated ability to build robust business cases, prioritize initiative portfolios, and drive cross functional excellence.
• Familiarity with enterprise data platforms and cloud infrastructure (e.g., Snowflake, Databricks, AWS, Azure, or GCP).
• Excellent communication and stakeholder management skills, with the ability to translate technical evaluations into business outcomes.
• Strong analytical and problem-solving skills, with experience quantifying the impact of technology decisions on business performance.

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 a week from home.

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$111, 000.00 - $166, 000.00 for the location of: Maryland, Colorado, Washington and remote workers
$111, 000.00 - $166, 000.00 for the location of: Washington, D.C.
$111, 000.00 - $166, 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

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.