Senior Technical Business Analyst; define and manage AI and automation initiatives using Job Edmonton area,Alberta Canada,IT/Tech

Position: Senior Technical Business Analyst (10+ years) to define and manage requirements for AI and automation initiatives using

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