Back to job search
NV
New Value SolutionsVerified Job Source

Senior AI Business Analyst (ID#5467)

Lead requirements gathering, process analysis, and stakeholder workshops to develop user stories and acceptance criteria. Manage the end-to-end testing lifecycle, including UAT and defect tracking, while supporting Agile delivery and CI/CD deployment pipelines.

  • Remote
  • Canada
  • Posted Aug 5, 2026
  • 1 position

Job summary

We are searching for a Business Analysis who is experienced in AI. Experience with cybersecurity is also an asset. This is a contract role and expected to be long. The resource can work remotely, but the ability to work hybrid is an asset if located in Metro Vancouver. Key Responsibilities: Lead requirements gathering, process analysis, and stakeholder workshops. Develop business requirements, user stories, process flows, and acceptance criteria. Create and execute test plans, test cases, test scenarios, and UAT activities. Validate solution functionality, integrations, automated workflows, and business outcomes. Support Agile delivery, backlog refinement, sprint planning, and release activities. Collaborate with development teams to support deployment through CI/CD pipelines. Track and manage defects, risks, and quality assurance activities through resolution. Support operational readiness, user adoption, and continuous improvement initiatives. Deliverables: Business and functional requirements. User stories and acceptance criteria. Process and workflow documentation. Product backlog support artifacts. Test strategies, plans, and test cases. Test execution results and defect reports. UAT plans and sign-off documentation. Release readiness and deployment validation documentation. Requirements traceability artifacts. Operational readiness and training materials. Mandatory Requirements: 5+ years of experience as a Business Analyst, Product Analyst, QA Analyst, Product Owner, or similar role. Strong experience with requirements management, business process analysis, solution validation, and testing. Experience supporting Agile software delivery teams. Experience with Azure DevOps, Jira, or similar work management platforms. Understanding of DevOps and CI/CD practices, including build/release pipelines, environment promotion, deployment validation, and release management. Experience supporting enterprise software, digital products, workflow automation, or technology transformation initiatives. Strong stakeholder management, facilitation, analytical, and communication skills. Preferred Requirements: Experience supporting AI-enabled, automation, or digital transformation initiatives. Familiarity with Generative AI, Copilot, intelligent automation, or workflow orchestration concepts. Experience validating automated workflows, integrations, and AI-generated outputs. Experience working in DevOps or DevSecOps environments. Experience with Azure Cloud and Azure DevOps. Experience supporting cybersecurity, ITSM, workflow automation, or enterprise platform initiatives. CBAP, CCBA, PMI-PBA, CSPO, ISTQB, Agile BA, or equivalent certifications.

What you’ll do

Lead requirements gathering, process analysis, and stakeholder workshops to develop user stories and acceptance criteria. Manage the end-to-end testing lifecycle, including UAT and defect tracking, while supporting Agile delivery and CI/CD deployment pipelines.

Requirements

Requires over 5 years of experience as a Business or QA Analyst with strong expertise in Agile software delivery and work management platforms like Jira or Azure DevOps. Preference is given to candidates with experience in AI, Generative AI, cybersecurity, and relevant professional certifications.

Listed skills

  • Business analysisPreferred
  • Requirements gatheringPreferred
  • JiraPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Business Analysis
  • Artificial Intelligence
  • Requirements Gathering
  • Agile Methodology
  • User Acceptance Testing
  • Process Analysis
  • Azure DevOps
  • Jira
  • CI/CD Pipelines
  • Stakeholder Management
  • Cybersecurity
  • Workflow Automation
  • Generative AI
  • Solution Validation
  • Product Backlog Management
  • Test Planning

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Consulting
  • Security & Safety

Additional details

Minimum education
Professional degree
Minimum experience
5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Not Applicable
Application method
Direct apply is available