AI Business Analyst, Advancement Systems

Washington University in St. Louis; St. Louis (MO); On-site; USD 75,000 - 129,000; Full time

Job summary

Washington University in St. Louis seeks an experienced AI business analyst to apply governance and strategic planning for AI-enabled initiatives across campus.

You will assess business change needs, capture requirements, and ensure responsible use of AI within WashU IT resources and external tools. You will collaborate with partners to elicit, document, and validate requirements, create prototypes, and oversee solution delivery while monitoring for bias and drift.

Qualifications

• Experience designing AI governance, risk controls, observability, or model-monitoring frameworks.
• Experience deploying production AI agents or conversational AI in large enterprises.
• Familiarity with Salesforce, Einstein, Data 360, or similar AI platforms.

Responsibilities

• Plan requirements elicitation strategies and validation with university partners.
• Translate business needs into technical requirements and traceability artifacts.
• Lead on major projects and monitor solution delivery to ensure requirements are met.
• Develop metrics to evaluate adoption and long-term performance of AI solutions.
• Provide governance, risk controls, and stakeholder consulting throughout project lifecycle.

Skills

AI governance

Agent deployment

Salesforce

Einstein

Data 360

GitHub Copilot

Education

Bachelor's degree

Tools

Visio

Job description

Location: Saint Louis, MO 63105

Scheduled Hours: 40

Position Summary

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.

Primary Duties & 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

• Will take 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.

Perform other duties as assigned.

Working Conditions

Normal office environment. Work is normally performed in offices located across campus. There will be activities that require trips to many University offices and offsite locations.

Physical Effort: Typically sitting at a desk or a table. Repetitive wrist, hand or finger movement. Ability to move to on- and off-campus locations as needed.

Equipment: Office equipment.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education: Bachelor's degree

Certifications/Professional Licenses: No specific certification/professional license is required for this position.

Work Experience: Relevant Experience (4 Years)

Driver's License: A driver's license is not required for this position.

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.

Salary Range

$75,200.00 - $128,800.00 / Annually (Grade G14)

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.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre‑employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity or shared ancestry, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. As a federal contractor, the university maintains affirmative action programs to implement its equal employment opportunity policy for individuals with disabilities and protected veterans, in accordance with Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974 (VEVRAA), as amended.