Senior Technical Business Analyst (10+ years) to define and manage requirements for AI and automation initiatives using Google Cloud AI and RPA solutions

Our energy and utilities client is seeking a Senior Technical Business Analyst (10+ years) to define and manage requirements for AI and automation initiatives using Google Cloud AI and RPA solutions

Join a team driving next-generation automation and AI capabilities for a leading energy organization. This role structures complex business rules and translates them into implementation-ready artifacts supporting automation delivery across discovery, documentation, and user acceptance. The position offers high visibility with technical and business leadership in advancing AI-enabled workflows and systems integration within the client’s automation domain.

Contract, Calgary or Edmonton, Hybrid onsite 2 days/week, Working Hours: MST

Must Haves

• 10+ years in technical business analysis within automation or AI-enabled environments
• Proficiency with Google Cloud AI platforms including Vertex AI, Gemini, and Document AI
• Exposure to Robotic Process Automation (RPA) or AI-assisted solution development
• Experience defining functional and non-functional requirements with full traceability
• Business Analysis certification (CBAP, CCBA, PMI-PBA, or ECBA)

Nice to Have

• Familiarity with AI assistants such as Copilot or related intelligent agent tools
• Experience using Google Workspace and embedded AI features for documentation and collaboration
• Understanding of requirements taxonomy and data constraint definition within integration environments

Responsibilities

• Elicit and document automation opportunities and business rules using defined Scenario + Rule standards
• Identify and capture required inputs, source systems, data dependencies, and operational constraints
• Define comprehensive Non-Functional Requirements covering performance, security, and auditability
• Document exception handling logic and manual routing procedures for unresolved scenarios
• Collaborate with technical teams to define unstructured data sources for AI model grounding
• Track requirement gaps, assumptions, and pending decisions to ensure timely resolution
• Maintain traceability from business rules through user stories, acceptance criteria, and UAT evidence
• Translate structured business rules into implementation-ready user stories and clear testable criteria
• Support technical discovery mapping to specific Google Cloud AI and automation capabilities