Senior Business Analyst to support a portfolio of automation and AI implementation projects
S.i. Systems • Edmonton
16 hours ago
Job type
- Contractor
Job description
Our utility client is seeking a Senior Business Analyst to support a portfolio of automation and AI implementation projects including process analysis and eliciting automation opportunities
Candidates must be located in Calgary or Edmonton. Hybrid work model of 2 days in-office and 3 days WFH.
Must Haves
- 7+ years in Business Analysis or Business Systems Analyst supporting automation, workflow, or agentic AI approaches
- Strong Process Analysis and Management skills
- Experience elicit and document automation opportunities, identify and document required inputs
- Experience collaborate with technical teams to define the unstructured data sources required to ground AI models
- Previous experience in Utilities or Energy industry
Nice to Have
- Business Analysis certifications: CBAP, CCBA, PMI-PBA, or ECBA
- Familiar with Microsoft & Google Suite products
Responsibilities
- Elicit and document automation opportunities, current-state scenarios, and business rules using the Scenario + Rule standard, capturing current-state context, explicit IF/THEN logic, and expected system outcomes
- Identify and document required inputs, source systems, data dependencies, data quality rules, and operational constraints (e.g., volumes, SLAs, cutoffs)
- Define comprehensive Non-Functional Requirements (NFRs), including performance, availability, auditability, logging, and security/privacy constraints
- Collaborate with technical teams to define the unstructured data sources required to ground AI models for specific business contexts
- Manage and track requirement-related gaps, technical assumptions, and pending business decisions, ensuring clear ownership and target resolution dates to prevent roadblocks during technical sizing
- Maintain rigorous traceability (RTM) from primary rules through to user stories, acceptance criteria, and test cases/UAT evidence using platforms such as Jira and Confluence
- Translate approved business rules into draft user stories and objective acceptance criteria (typically 2–5 test cases per rule), ensuring outputs are clear, binary, and implementation-ready without reliance on interpretation