AI Analyst

Stanford University; Redwood City (CA); On-site; USD 156,505 - 183,920; Full time

Job summary

Stanford University’s Enterprise Technology team (AI Catalyst) seeks a senior analyst who translates ambiguous business needs into clear specifications and guides AI/GenAI platform rollouts. You will not build models, but you will shape requirements, coordinate delivery, testing, and adoption across Claude, OpenAI/ChatGPT Enterprise, Gemini, and a portfolio of AI applications.

This is an applied business analysis role; expected to work across enterprise AI initiatives in a large, decentralized

Qualifications

• Experience delivering AI/GenAI projects in a large, complex org with platform rollouts and adoption.
• Familiarity with prompt engineering, evaluation of AI outputs, quality rubrics, and governance practices.
• Awareness of agent interoperability standards and MCP-based integrations between AI agents and enterprise tools.
• Experience with Agile/Scrum and BA tools like Jira, Confluence, Smartsheet.
• Process mapping (e.g., BPMN) and comfort with data analysis (SQL, dashboards).
• Experience with change management, user enablement, and training program design.
• Coordination across multiple stakeholders and external vendors.
• Experience in higher education or similarly complex, decentralized environments.

Responsibilities

• Shape and document requirements for AI and GenAI initiatives.
• Translate ambiguous business needs into clear, buildable specifications.
• Guide solutions through delivery, testing, and adoption across enterprise AI platforms and applications.
• Write strong requirements and help drive delivery across rollout activities.

Skills

Enterprise AI Delivery

AI Quality & Governance

Agentic & Interoperability Awareness

Agile & BA Tooling

Process & Data Skills

Change & Training

Stakeholder & Vendor Management

Higher Education Context

Job description

NOTE: This is a 1-year, Fixed-Term position.

Are you a senior analyst who is fluent in how modern AI gets built and adopted? Join Stanford’s Enterprise Technology team (AI Catalyst) as the connective tissue between business stakeholders and the engineering teams delivering enterprise AI. You will shape and document requirements for AI and GenAI initiatives, translate ambiguous business needs into clear, buildable specifications, and help drive delivery across the rollout of enterprise platforms (Claude, OpenAI/ChatGPT Enterprise, Gemini) and a portfolio of high-stakes AI applications.

This is a senior, applied business analysis role. You will not build models, but you will understand AI concepts deeply enough to scope feasible use cases, set realistic expectations, write strong requirements, and guide solutions through delivery, testing, and adoption.

Approved budgeted annual salary for this role: $156,505 - $183,920

Desired Knowledge, Skills, and Abilities:

• Enterprise AI Delivery:Experience delivering AI/GenAI projects in a large, complex organization, ideally including platform rollouts and adoption efforts.
• AI Quality & Governance:Familiarity with prompt engineering, evaluation of AI outputs (rubrics, accuracy/quality, hallucination checks), and AI guardrails, privacy, and governance practices.
• Agentic & Interoperability Awareness:Awareness of agent interoperability standards (e.g., A2A) and MCP-based integrations between AI agents and enterprise tools.
• Agile & BA Tooling:Experience with Agile/Scrum and tools such as Jira, Confluence, and Smartsheet.
• Process & Data Skills:Process mapping (e.g., BPMN) and comfort with data analysis (SQL, dashboards) to support decisions.
• Change & Training:Experience with change management, user enablement, and training program design.
• Stakeholder & Vendor Management:Coordinating across multiple stakeholders and external vendors.
• Higher Education Context:Experience in higher education or similarly complex, decentralized environments.