AI Business Analyst

Expleo•Milwaukee, WI

2d•$120,000 - $150,000•Remote

About The Position

Are you passionate about shaping how businesses work using AI and automation? Trissential is partnering with an innovative client to bring on an AI Business Analyst who thrives at the intersection of process improvement and emerging technology. This is your opportunity to turn real-world business challenges into intelligent, scalable solutions—while working on cutting-edge AI initiatives in a fully remote environment.

Requirements

8+ years of experience in business analysis, process improvement, consulting, or related client-facing roles
Proven success delivering technology-driven process improvements (AI, automation, RPA, low-code platforms)
Strong expertise in process modeling and improvement methodologies such as Lean, Kaizen, value-stream mapping, or design thinking
Hands-on experience with AI tools, including Generative AI, chatbots, document intelligence, or workflow automation
Ability to build business cases that clearly articulate value, effort, risks, and dependencies
Excellent facilitation, interviewing, and communication skills across all levels of an organization
Strong documentation and storytelling ability for both business and technical audiences
Bachelor’s degree in Business, Information Systems, Computer Science, or related field
Authorized to work in the United States

Nice To Haves

Experience delivering AI or digital transformation projects from discovery through implementation
Background working in highly regulated or complex enterprise environments
Familiarity with Agile frameworks such as Scrum or Kanban
Exposure to multi-agent AI workflows or advanced automation orchestration
Certifications in Lean, Six Sigma, Agile, or Business Analysis are a plus

Responsibilities

Lead and facilitate discovery interviews and workshops to deeply understand client processes and operations
Build clear, detailed process models such as swimlanes, value streams, and user journeys
Drive Kaizen, A3, and design-thinking sessions to optimize workflows before implementing AI solutions
Identify and evaluate opportunities for AI, automation, RPA, and low-code/no-code tools
Develop concise and compelling business cases with clear value propositions and measurable outcomes
Recommend prioritization of AI use cases and guide them into structured delivery pipelines
Partner with technical teams to translate business needs into actionable backlogs, prototypes, and pilot programs
Define, track, and analyze pilot metrics to determine scalability and ROI
Maintain well-structured documentation to accelerate delivery from discovery to execution
Coach stakeholders on identifying and prioritizing future AI and automation opportunities