AI Business Analyst, Advancement Systems - University Advancement

Washington University in St Louis • Clayton, MO

6d • Onsite

About The Position

The AI Business Analyst in University Advancement helps the organization improve efficiency through the safe and responsible use of AI. The role applies knowledge of business needs and the university’s technology infrastructure to understand and assess business change needs, document and manage requirements, and support communication and delivery with relevant stakeholders. The analyst monitors AI technologies and advises on the use of WashU IT-provided and external resources. The position also supports and monitors agentic and other AI applications to help ensure accurate responses and address issues.

The analyst works with university partners and project managers to plan requirements elicitation, analyze current processes and root causes, document technical requirements, assess gaps, and support solution design and implementation. Responsibilities include creating prototypes and wireframes as needed, validating requirements, supporting testing and deployment, and providing production support and enhancements. The analyst monitors solutions for effectiveness and issues such as bias, hallucinations, and algorithm drift; develops adoption and performance metrics; and reports on status and development issues. The role leads development on most efforts and may take assignments on large projects.

The position is based in a normal office environment, with work performed in offices across campus and occasional travel to other university offices and offsite locations. Work is typically performed seated at a desk or table and involves repetitive wrist, hand, or finger movement. The employee must be able to travel to on- and off-campus locations as needed.

Requirements

• Bachelor's degree.
• Four years of relevant experience.
• Business acumen combined with technical knowledge, including experience developing technical, functional, and non-functional requirements, use cases, data and process flows, and understanding systems engineering concepts.
• Strong research skills and experience working closely with team members during solution development and product launch.
• Ability to complete multiple tasks within established and changing deadlines and collaborate effectively as part of a productive team.
• Understanding of client relationship management, process mapping and improvement, project management, and production support.
• Proficiency using Visio tools.
• Patience, professionalism, tactfulness, empathy, enthusiasm for helping others, and ability to assess customer needs and select an appropriate response.
• Ability to defuse stressful or anxious situations.
• Knowledge of the evolving AI landscape externally and within WashU, and ability to advise on effective technology implementation.

Nice To Haves

• Experience designing and deploying production AI agents or conversational AI solutions in a large enterprise environment.
• Experience with Salesforce, Agentforce, Einstein, Data 360, Model Context Protocol servers, and AI-assisted engineering tools such as GitHub Copilot, Codex, Claude Code, or Salesforce MCP Server, or comparable platforms.
• Experience establishing or working within AI governance, responsible AI, risk-control, observability, evaluation, or model-monitoring frameworks.
• Higher-education experience and familiarity with constituent relationships, institutional analytics, and higher-education compliance requirements.
• Experience with Alumni/Development, fundraising, or CRM.
• Skills in accessibility standards, Agile team practices, AI architecture, analytical solutions, application development, artificial intelligence, business analysis, business technical writing, collaboration, communication, computer science, consultative approach, CRM analytics, data governance, donor engagement, fundraising, Microsoft Office, new technology development, presentation delivery, and problem solving.

Responsibilities

• Prepare business cases with university partners and present proposed solutions or implementation plans to the AI Oversight Group as needed.
• Collaborate with project managers to plan technical requirements elicitation, requirements management, validation, project scope, user acceptance, installation, deployment, metrics, schedules, and resources.
• Articulate business opportunities and objectives; conduct current-state and root-cause analyses as needed.
• Plan and apply modeling techniques for requirements analysis, including scope, process, rule, data, and interface models.
• Identify, document, organize, and simplify technical requirements; maintain traceability and document requirement relationships and dependencies.
• Conduct gap analysis and create conceptual prototypes and wireframes with university partners as needed.
• Apply business process modeling, traceability, and quality management techniques; obtain approvals, facilitate go/no-go decisions, and validate requirements throughout the process.
• Use requirements to guide test-case design or review and process change requests.
• Analyze appropriate AI solutions to meet requirements, propose or help develop solutions, and complete or assist with development needed for implementation.
• Consult with stakeholders on requirements management in collaboration with project management.
• Prioritize tasks and resolve issues to meet project deliverables.
• Support implemented solutions, including fixes and functionality enhancements.
• Monitor solutions for requirements fulfillment, effectiveness, and risks such as bias, hallucinations, and algorithm drift.
• Lead development on most efforts and take assignments on large projects or other work as assigned.
• Recommend and implement continuous improvement plans for technical analysis.
• Develop adoption metrics and other methods to evaluate long-term solution performance; review test results and report response and development issues and status.
• Perform other duties as assigned.

Benefits

• Up to 22 days of vacation, 10 recognized holidays, and sick time.
• Competitive health insurance packages with priority appointments and lower copays or coinsurance.
• Free Metro transit U-Pass for eligible employees.
• Eligible employees may participate in a defined contribution 403(b) retirement savings plan, with university contributions starting at 7%.
• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program, financial resources, and access to dietitians.
• Four weeks of caregiver leave to bond with a new child, plus family care resources.
• Tuition coverage for employees and family, including dependent undergraduate tuition up to 100% at WashU and 40% elsewhere after seven years of employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level