Business Analyst managing AI Champions and business AI requests at T. Rowe Price. Overseeing tool enablement and training while coordinating AI project deliverables and stakeholder engagement.
Responsibilities
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
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
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
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
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
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
Requirements
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 define a vision for new operating models for AI usage, training, and request handling, then break that vision into practical processes, templates, and routines that can be tested and improved over time
Operating model creation : Designs and maintains cross-team workflows for intake, communications, playbooks, and simple tracking using digital tools
Comfortable creating structure where none exists
Enablement and adoption ownership: Builds role-based enablement tied to releases and owns adoption outcomes
Sets targets with product leaders and reports progress with clear actions
Communication and stakeholder management : Excellent written and verbal communication
Aligns power users, managers, SMEs, and senior partners with concise updates and reliable follow-through
Analytical skills : Comfortable analyzing usage and adoption data in multiple analytics platforms and turning insights into actions that move KPIs
Self-starter and builder: Resourceful and comfortable with ambiguity
Proven ability to create something from scratch and improve it over time
Early adopter of AI and modern productivity tools
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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