AI Workflow Project Manager - Electrical Engineering Automation at GE Vernova in Markham

Job description

Job Description Summary GE Vernova is seeking an experienced AI Workflow Project Manager - Electrical Engineering Automation to lead the transformation of protection and control engineering from manual execution to an AI-assisted, human-verified delivery model. In this role, you will lead the planning, coordination, and delivery of an AI-enabled workflow supporting the full lifecycle of protection and control projects. You will manage multiple project scopes simultaneously, control scope creep, maintain timelines, and partner closely with the development team responsible for building and deploying the technical solutions. You will work across engineering, drafting, testing, manufacturing, and digital teams to build a scalable toolchain that improves speed, quality, repeatability, and traceability while keeping human engineering judgment at the center of the process. This role is ideal for a technically credible project leader who combines firsthand electrical engineering knowledge with strong project management and Agile/Scrum facilitation skills, hands-on experience with Jira and Confluence, and experience delivering AI or automation solutions in an industrial environment. Job Description Roles and Responsibilities Lead the planning, coordination, and operationalization of an end-to-end AI workflow for electrical engineering automation across the project lifecycle, partnering closely with the development team on technical execution. Define requirements for and coordinate the integration of AI-enabled tools and platforms, including large language models, structured data pipelines, generative engineering workflows, and automated drawing solutions. Plan and maintain the workflow architecture for requirements capture, feasibility analysis, solution design, wiring generation, FAT script generation, SAT script generation, and continuous improvement. Apply working knowledge of data structures, prompt frameworks, engineering knowledge libraries, and traceability methods required to support high-quality AI outputs. Establish human-verification checkpoints at each workflow stage, including approval criteria, reviewer responsibilities, and structured feedback capture. Coordinate the deployment of AI-assisted tools that interpret customer RFQs, specifications, single-line diagrams, and technical data to generate structured engineering requirements and feasibility outputs. Drive AI-assisted solution development, including single-line diagrams, protection schemes, relay recommendations, bills of materials, configuration outputs, and panel layouts. Coordinate with the development team to implement automated wiring-drawing generation using AutoCAD Electrical or equivalent platforms. Oversee the development of AI-driven FAT and SAT procedure-generation capabilities using approved design packages, drawings, relay settings, and site-specific constraints. Drive adoption through training, change-management support, and structured methods for interacting with and validating AI-generated outputs. Define and track key performance indicators such as first-pass accuracy, verification cycle time, drawing revision rates, and test-script quality. Lead continuous improvement by capturing feedback from project execution, as-built data, test outcomes, and user reviews to improve future AI performance. Manage multiple concurrent project scopes, proactively control scope creep, and maintain project timelines. Use Jira, Confluence, and other Agile/Scrum tools to plan, track, and Act as Scrum Master and Agile facilitator for cross-functional project teams, including sprint planning, stand-ups, backlog refinement, and retrospectives. Support project-management functions across the AI workflow program, including scheduling, resourcing, budget tracking, risk management, and status reporting. Required Qualifications Bachelor's degree in Electrical Engineering, Power Systems Engineering, Computer Engineering, or a related field with a strong electrical specializatio