Business Systems Engineer - AI
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Key skills for this role
About the Role
Canadian Tire Corporation seeks an AI-first Business Systems Engineer to accelerate AI adoption across teams. You will design and build AI-powered solutions using Atlassian Rovo Studio, Jira, Confluence, and Microsoft 365 Copilot.
Key Skills for This Role
Responsibilities
- Design, build, and enable AI agents that help teams automate repetitive tasks, decompose requirements, create and update work items, summarize information, and improve decision making
- Translate business problems into practical AI enabled workflow designs, including agent instructions, prompts, knowledge sources, inputs, outputs, guardrails, and human review points
- Monitor adoption, collect feedback, analyze effectiveness, and continuously improve AI agents, automation rules, and Atlassian configurations
- Promote responsible AI usage by ensuring outputs are reviewed, assumptions are transparent, and AI enabled workflows follow approved standards and access controls
- Configure and administer Atlassian capabilities across Jira and Confluence, including project settings, workflows, permissions, templates, fields, automation rules, and knowledge structures
- Design and configure Jira automations that improve project board hygiene, reduce manual updates, support traceability, and improve team efficiency
- Create Confluence templates, guidance pages, and knowledge structures that support AI agent performance, reusable standards, and consistent delivery practices
- Support the rollout and adoption of AI enabled ways of working by creating playbooks, training materials, demos, office hours, and team coaching sessions
- Document agent designs, automation logic, configuration decisions, and operating procedures in alignment with CTC Engineering practices and governance standards
- Partner with BSA, Solution Architecture, Product, Engineering, QA, Delivery, and business teams to identify high value AI and automation use cases
Requirements
- Proven hands on experience designing, building, testing, and improving AI agents using Atlassian Rovo Studio or comparable low code/no code AI agent platforms
- Strong understanding of how Jira and Confluence work together to support requirements, work item creation, traceability, delivery execution, and knowledge management
- Experience working with Atlassian automation, marketplace apps, integrations, or reporting capabilities is a strong asset
- Strong analytical skills with the ability to break down complex processes and translate them into simple, scalable workflow solutions
- Ability to identify process bottlenecks, standardization gaps, and automation opportunities across teams
- Experience creating clear documentation, process maps, templates, playbooks, training materials, and enablement content
- Strong facilitation and communication skills, with the ability to explain AI and platform concepts to both technical and non technical audiences
- Ability to collaborate across BSA, Product, Engineering, Architecture, QA, Delivery, and business stakeholder groups
- Results driven and comfortable working in a fast paced, ambiguous environment
- Strong stakeholder management skills with the ability to balance platform standards, team needs, and delivery priorities
Full Job Posting
Role Overview
- We’re looking for an AI first Business System Engineer AI to help accelerate how CTC teams adopt, design, and scale intelligent ways of working.
- This role sits at the intersection of business analysis, process design, AI agent development, and Atlassian platform enablement.
- You will design and build AI powered solutions using platforms such as Atlassian Rovo Studio, Jira, Confluence, Jira automation, and Microsoft 365 Copilot.
What You'll Do
- Design, build, and enable AI agents that help teams automate repetitive tasks, decompose requirements, create and update work items, summarize information, and improve decision making.
- Translate business problems into practical AI enabled workflow designs, including agent instructions, prompts, knowledge sources, inputs, outputs, guardrails, and human review points.
- Monitor adoption, collect feedback, analyze effectiveness, and continuously improve AI agents, automation rules, and Atlassian configurations.
- Promote responsible AI usage by ensuring outputs are reviewed, assumptions are transparent, and AI enabled workflows follow approved standards and access controls.
- Configure and administer Atlassian capabilities across Jira and Confluence, including project settings, workflows, permissions, templates, fields, automation rules, and knowledge structures.
- Design and configure Jira automations that improve project board hygiene, reduce manual updates, support traceability, and improve team efficiency.
- Create Confluence templates, guidance pages, and knowledge structures that support AI agent performance, reusable standards, and consistent delivery practices.
- Support the rollout and adoption of AI enabled ways of working by creating playbooks, training materials, demos, office hours, and team coaching sessions.
- Document agent designs, automation logic, configuration decisions, and operating procedures in alignment with CTC Engineering practices and governance standards.
- Partner with BSA, Solution Architecture, Product, Engineering, QA, Delivery, and business teams to identify high value AI and automation use cases.
What You Bring
- Proven hands on experience designing, building, testing, and improving AI agents using Atlassian Rovo Studio or comparable low code/no code AI agent platforms.
- Strong understanding of how Jira and Confluence work together to support requirements, work item creation, traceability, delivery execution, and knowledge management.
- Experience working with Atlassian automation, marketplace apps, integrations, or reporting capabilities is a strong asset.
- Strong analytical skills with the ability to break down complex processes and translate them into simple, scalable workflow solutions.
- Ability to identify process bottlenecks, standardization gaps, and automation opportunities across teams.
- Experience creating clear documentation, process maps, templates, playbooks, training materials, and enablement content.
- Strong facilitation and communication skills, with the ability to explain AI and platform concepts to both technical and non technical audiences.
- Ability to collaborate across BSA, Product, Engineering, Architecture, QA, Delivery, and business stakeholder groups.
- Results driven and comfortable working in a fast paced, ambiguous environment.
- Strong stakeholder management skills with the ability to balance platform standards, team needs, and delivery priorities.
Compensation
- Broadband Salary Range: CAD 80,000.00 – CAD 131,000.00
- Salary decisions are based on experience, industry benchmarks, internal equity, and role specific requirements.
- Comprehensive benefits and retirement programs, performance incentives, continuing education programs, and product discounts.
About Us
- Canadian Tire Corporation is one of Canada’s most admired and trusted companies with more than 90 Owned Brands, over 1,600 retail locations, financial services, and e commerce capabilities.
- We offer competitive salaries, store discounts, learning opportunities, profit sharing, and retirement savings programs.
- We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do.
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