AI Business Analyst

Trissential is an innovative company seeking an AI Business Analyst who excels in process improvement and emerging technology. The role involves leading discovery sessions, optimizing workflows, and developing business cases for AI solutions to drive transformation in organizations.

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

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
• 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