AI Business Analyst- Distribution and Enablement
Listed on 2026-01-12
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IT/Tech
AI Engineer, Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
AI Business Analyst – Distribution and Enablement
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 SummaryThis Business Analyst (BA) brings together three areas: growth of and support for the AI Champions program, coordination of business AI requests, and owning the training and enablement of tools that the GD GenAI program delivers. They work with Sr. AI Product Managers and AI Champions to time user enablement with product releases, tracking adoption and usage KPIs.
Responsibilities- AI Champions network (ownership):
Independently own and mature the AI Champions program across Global Distribution, setting role expectations, keeping playbooks current, running a regular cadence, and serving as the single point of contact for Champions and business partners. - AI Champions network (support & visibility):
Coach Champions on practical use of AI tools; synthesize user/stakeholder feedback into clear improvements; provide leadership with concise updates on progress, risks, and what is needed to unlock value. - Business-driven AI requests (intake & routing):
Act as the front door for priority AI requests that aren’t on a major roadmap; quickly assess scope, data needs, potential value, and risks and recommend the delivery approach; align stakeholders on the plan. - Business-driven AI requests (delivery & handoff):
Lead business analysis across delivery approaches, clarify the problem and success measures, translate needs into lightweight requirements, coordinate user validation, and plan a clean handoff to business and technology owners with clear support and adoption plans. - Training & skill development (ownership):
Own the enablement and training plan for the GD GenAI Program’s tools and capabilities; map role‑based skills to the outcomes targeted by GD GenAI Strategy; coordinate curriculum and delivery with various GD and Enterprise training and development teams, platform owners, and Sr. Product Managers; be accountable for the plan and outcomes. - Training & skill development (execution & outcomes):
Stand up practical learning paths for AI Champions and end users (short modules, hands‑on labs, office hours, etc.); partner with Sr. Product Managers and AI Champions to sequence enablement with product releases and drive adoption; track proficiency and adoption indicators tied to GD GenAI Strategy OKRs, and feed insights into program reporting and backlogs.
- Proactively embraces emerging technologies, with a particular enthusiasm for AI.
- Demonstrates curiosity and a hands‑on attitude, continually exploring and experimenting with new tools.
- Initiates projects independently and has a track record of building solutions from the ground up.
- Exhibits resourcefulness and thrives in environments where ambiguity is present.
Required:
- Education and Experience:
Bachelor’s degree (or equivalent experience) in business, communications, information systems, or a related field and 5+ years in roles such as management consulting, internal strategy, digital/AI transformation, or product/analytics consulting where you designed and implemented new ways of working across teams. - Advanced GenAI and LLM expertise:
Strong grasp…
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