Lead Business Analyst, AI Strategy & Enablement

T. Rowe Price•Baltimore, MD

73d•$120,000 - $256,000•Hybrid

About The Position

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 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.

Requirements

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 project 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 their 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, able to assess feasibility and trade-offs across data, process, and technical dimensions.
Communication & Stakeholder Management: Excellent communication and stakeholder management skills. Adept at simplifying complex ideas and aligning cross-functional 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.

Nice To Haves

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. Exposure to vendor management or proof-of-concept execution is beneficial.
Professional Certifications: Relevant certifications such as CBAP, PMP, or Agile credentials (CSM, SAFe) are advantageous.

Responsibilities

AI Use Case Shaping: Review and refine AI proposals submitted through intake channels by translating high-level ideas into well-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 standard required 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 that may impact 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 and 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 the highest-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 to inform enterprise planning and tollgate approvals.
Roadmap Development: Help develop and sequence delivery roadmaps that reflect interdependencies, capacity constraints, and business urgency. Ensure roadmaps align to broader AI strategy and planning cadences, and are grounded in 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 closely with strategy leads, product managers, data scientists, engineers, and risk partners to drive alignment, clarify requirements, and advance AI opportunities from intake through initial planning. Facilitate working sessions and ensure effective handoffs across stakeholders.

Benefits

Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits

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