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AI Business Analyst- Distribution and Enablement

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: T. Rowe Price
Full Time position
Listed on 2025-11-28
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 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.

This 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.
* ** 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.
* ** 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.

- ** 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.

- ** 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.
* *
* 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 of generative AI, large language models, and agentic AI business use cases. Hands on with prompts, agent-builder tools, evaluation approaches, and safe use patterns. Able to separate hype from value.
* ** Business and technical translation**:
Turns complex AI concepts into plain English for business partners, then converts business needs into clear requirements and acceptance criteria for engineers and data teams using Excel and/or BI tools.
* ** Vision and systems building**:
Able to…
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