Lead Business Analyst, AI Strategy & Enablement

Position Overview

T. Rowe Price is building a future where artificial intelligence transforms how we serve clients, manage investments, and run our business. As part of this journey, we are hiring a Lead Business Analyst to join the AI Strategy & Enablement team. This is a high-impact role for a structured, analytical thinker who can bridge business priorities and AI solutions. You'll play a critical role in shaping enterprise AI use cases—translating needs into opportunities, identifying delivery risks early, and supporting roadmap planning for scalable solutions. We're looking for someone with deep experience in business analysis or digital transformation, fluency in AI/ML concepts, and the ability to operate across business, data, and technology teams. Strong problem-solving, executive communication, and cross-functional leadership are essential.

Key Responsibilities

• AI Use Case Shaping: Review and refine AI proposals by translating high-level ideas into structured use cases with clear business objectives, solution logic, and outcome definitions. Engage with stakeholders across business and technology to capture missing details and ensure submissions meet the required standard for prioritization and planning.
• Feasibility & Risk Assessment: Assess early-stage use cases for data availability, model risk, regulatory constraints, and implementation complexity. Partner with Compliance, Risk, Legal, and Technology to identify and address blockers impacting delivery or value realization.
• Capability Mapping & Reuse: Evaluate whether proposed solutions can be addressed through existing AI capabilities, either proprietary or vendor-based. Maintain an active understanding of available solutions to support rationalization of the AI build-versus-buy landscape.
• Prioritization Support: Contribute to portfolio-level decision-making by assessing use cases across business impact, technical feasibility, complexity, and interdependencies. Provide structured inputs to prioritization and funding discussions to help focus resources on high-value opportunities.
• Financial Planning & Resourcing: Collaborate with Finance and domain leads to estimate cost-to-deliver and ongoing resource needs, including staffing, licensing, and vendor spend. Support early-stage business case development for enterprise planning and tollgate approvals.
• Roadmap Development: Help develop and sequence delivery roadmaps that reflect interdependencies, capacity constraints, and business urgency. Ensure alignment with broader AI strategy and realistic delivery assumptions.
• Vendor Evaluation: Participate in vendor reviews, assess solution fit and integration feasibility, and support total cost of ownership analysis. Coordinate demo sessions and synthesize findings to inform vendor selection and onboarding.
• Cross-Functional Collaboration: Partner with strategy leads, product managers, data scientists, engineers, and risk partners to drive alignment, clarify requirements, and advance AI opportunities from intake through planning. Facilitate working sessions and ensure effective handoffs.

Required Qualifications

• Education & Experience: Bachelor's degree in business administration, management, computer science, or a related field AND 8+ years of experience in business analysis, digital transformation, or related roles, with exposure to Agile delivery and cross-functional environments.
• AI & Data Literacy: Familiarity with AI/ML concepts (including generative AI and large language models) and their business applications. Quick to learn new technologies and assess business relevance.
• Business Needs Translation: Proven ability to translate complex business needs into structured requirements and actionable specifications.
• Analytical Skills: Strong analytical and problem-solving capabilities, with the ability to assess feasibility and trade-offs across data, process, and technical dimensions.
• Communication & Stakeholder Management: Excellent communication skills and proven experience managing stakeholders. Adept at simplifying complex ideas and aligning diverse teams.
• Portfolio Planning Experience: Experience contributing to project portfolio planning or prioritization, including roadmap development, initiative evaluation, and business case support.
• Organizational Skills & Drive: Highly organized, detail-oriented, and self-directed. Capable of driving multiple initiatives in dynamic environments.

Preferred Qualifications

• Advanced Education: Master's degree (MBA or equivalent); additional credentials in data science, analytics, or technology are a plus.
• Industry Experience: Financial services or asset management experience, with familiarity in applying AI and data-driven solutions to industry challenges.
• Vendor & Tool Experience: Experience evaluating or implementing third-party AI/analytics platforms, with exposure to vendor management or proof-of-concept execution.
• Professional Certifications: Relevant certifications such as CBAP, PMP, or Agile credentials (CSM, SAFe) are advantageous.

Benefits & Perks

• 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.