AI Business Analyst, Advancement Systems - University Advancement

About the role

Through strong knowledge of business needs, the organization’s technology infrastructure, and the application of artificial intelligence-based technologies, helps the business gain efficiencies through the safe and responsible use of AI. Performs all tasks to achieve an understanding of business change needs, assessing the impact of those changes, capturing, analyzing, documenting and managing requirements, and then supporting the communication and delivery of those requirements with relevant parties. Monitors the WashU IT and general landscape of AI technologies and provides input regarding the best ways to leverage WashU IT-provided resources and external resources to meet AI-related needs. Provides support and monitoring for agentic and other AI applications to help ensure accurate responses and address issues.

Responsibilities

Planning

• Prepares business cases working with university partners.
• Presents to AI Oversight Group as needed regarding proposed solutions or implementation plans and answers questions raised by that group.
• Collaborates with Project Manager to plan approach to technical requirements elicitation and methods for requirements management and communication.
• Ensures business opportunities and objectives are clearly articulated.
• Performs current state analysis and/or root cause analysis as required.
• Plans modeling techniques to be used in requirements analysis (scope, process, rule, data, interface models, etc.).
• Works with Project Manager to plan validation of requirements in managing project scope, user acceptance, installation and deployment; helps determine metrics.
• Coordinates planning activities to meet objectives and timelines of overall program or project; works with Project Manager to forecast required time and resources.

Analysis, Design, Execution

• Based on functional requirements and conversations with university partners, identifies and documents technical requirements.
• Organizes technical requirements by release and other needed categories and sets up traceability matrix; articulates requirement relationships and dependencies.
• Translates and simplifies requirements for appropriate use; performs gap analysis.
• In collaboration with university partners, creates conceptual prototypes and wireframes as needed.
• Uses business process modeling, traceability and quality management techniques per methodology.
• Collaborates with project management to obtain requirements approvals per project plan; facilitates go/no go decisions.
• Validates requirements throughout process per plan.
• Uses requirements to drive the design or review of test cases, process change requests.
• Performs technical analysis regarding best use of AI solutions to meet requirements and proposes solution or assists in developing a solution.
• Provides consulting to all stakeholders regarding requirements management working with Project Management.
• Completes or assists with completing development needed to implement the proposed solution.
• Independently prioritizes the completion of tasks and resolution of issues to ensure compliance to project deliverables.
• Provides support for previously implemented solutions, incorporating fixes to identified issues and functionality enhancements.
• Monitors for effectiveness of implemented solutions and for prevention of issues such as bias, hallucinations, and algorithm drift.

Leadership

• Takes on assignments for large projects, and others as assigned.
• Leads development on most efforts.
• Monitors the solution to ensure requirements fulfillment and solution evaluation.
• Participates in recommending and implementing continuous improvement plans for technical analysis.

Measurement

• Develops requirements adoption metrics and other methods of evaluating the long-term performance of the solution.
• Reviews and monitors the effectiveness of analysis and development via test results.
• Tracks and reports on response issues and other development issues.
• Provides status reports.

Performs other duties as assigned.

Requirements

• Bachelor's degree
• 4 years of relevant experience
• No specific certification or professional license required
• Driver's license not required

Preferred qualifications

• Experience designing and deploying production AI agents or conversational AI solutions in a large enterprise environment, including experience with Salesforce, Agentforce, Einstein, Data 360, Model Context Protocol servers, and AI-assisted engineering tools such as GitHub Copilot, Codex, Claude Code, Salesforce MCP Server, or comparable platforms.
• Experience establishing or working within AI governance, responsible AI practices, risk controls, observability, evaluation, or model-monitoring frameworks.
• Prior experience in higher education environment, with understanding of constituent relationships, institutional analytics, and higher-education compliance requirements, and prior experience with Alumni/Development, Fundraising or CRM.
• Must possess an aptitude for patience, professionalism, tactfulness and empathy. Must be enthusiastic and committed to helping others and exhibit the ability to quickly assess the specific needs of the customer to determine an appropriate course of action.
• Must be able to quickly defuse stressful or anxious situations.
• AI Awareness: Must possess knowledge of the rapidly-evolving AI landscape both externally and within WashU and be able to serve as a trusted advisor regarding best implementation of related technologies.
• Business acumen coupled with technical knowledge, including experience with developing technical requirements, functional and non-functional requirements, use cases, data and process flows, and understanding of systems engineering concepts.
• Strong research skills and experience working closely with team members during solution development and product launch.
• Demonstrated successful performance with completing multiple tasks within established and changing deadlines and ability to contribute and collaborate effectively as a member of a highly-functioning and productive team.
• Demonstrated understanding of client relationship management, process mapping and improvement, project management, and production support, with proficiency using Visio tools.

Skills

• Accessibility Standards
• Agile Team Practices
• AI Architecture
• Analytical Solutions
• Application Development
• Artificial Intelligence (AI)
• Business Analysis
• Business Technical Writing
• Collaboration
• Communication
• Computer Science
• Consultative Approach
• CRM Analytics
• Data Governance
• Detail-Oriented
• Donor Engagement
• Fundraising
• Listening Effectively
• Microsoft Office
• New Technology Development
• Presentation Delivery
• Problem Solving
• Professional Integrity

Pay

Grade G14. Salary range: $75,200.00 - $128,800.00 annually. The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Benefits

Personal

• Up to 22 days of vacation, 10 recognized holidays, and sick time.
• Competitive health insurance packages with priority appointments and lower copays/coinsurance.
• Free Metro transit U-Pass for eligible employees.
• Defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more.

Family

• 4 weeks of caregiver leave to bond with your new child.
• Family care resources for continued childcare needs.
• Adult care resources.
• Tuition coverage for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years.

For policies, detailed benefits, and eligibility, visit: https://hr.wustl.edu/benefits/

Working conditions

Job Location/Working Conditions

• Normal office environment.
• Work is normally