Greenlight Consulting
AI Lead Consultant, AI Practice
Toronto, Canada
Sponsorship not specifiedDetected 14 days ago
LLMsAgentic AIStakeholder ManagementProcess ImprovementLeadershipCommunicationPublic Speaking
About the role
- The result: faster execution of the wrong workflow.
Responsibilities
- Lead structured current-state process discovery sessions with client stakeholders - walkthroughs, observation, value stream mapping - at a fidelity that captures decision logic, exception handling, system touchpoints, and handoff points
- Facilitate executive-level process reviews to validate redesigned workflows and secure stakeholder alignment before build begins
- AI Agent Requirements and Logic Design
- Document scope boundaries explicitly: what the agent handles autonomously, what requires human-in-the-loop review, and what must always be escalated
- Identify and document edge cases, exceptions, and failure modes the agent must handle gracefully - derived from discovery, not assumption
- Validate requirements completeness with the FDE before build begins - no ambiguity that would require the engineer to make business decisions mid-build
Requirements
- 3-5 years in business analysis, management consulting, process improvement, or operational transformation - with demonstrated experience leading reengineering initiatives, not just documenting current-state workflows
- AI-fluent - understands how agents reason, what they handle well, and where human judgment is still required
Nice to have
- faster execution of the wrong workflow.
- This role is the structural safeguard against that outcome.
- You are client-facing, delivery-accountable, and commercially aware.
- This is not a back-office BA role.
- Works Closely With
- Forward Deployed Engineer, Pre-Sales SE, AI Delivery Engagement Manager
- Client Interaction
- Yes - C-suite, operations leaders, process owners, compliance stakeholders
Skills
- Ability to facilitate structured discovery workshops with cross-functional and executive-level stakeholders
- Structured thinker - organizes ambiguous situations into clear frameworks, prioritized issues, and decision-ready recommendations
- AI-fluent - understands how agents reason, what they handle well, and where human judgment is still required; does not need to code but can
- Prioritize automation opportunities by value-to-complexity ratio, enabling clients to sequence their AI roadmap by impact and feasibility
- Track realized value post-deployment against projected figures - closing the loop on delivery credibility
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This listing is sourced directly from Greenlight Consulting's careers page and normalized into a canonical job model.