Workplace AI Business Analyst Specialist

Jobgether · Canada

Company

Jobgether

Location

Canada

Type

Full Time

Job Description

Team: Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Workplace AI Business Analyst Specialist in Canada.

This role sits at the intersection of artificial intelligence, user enablement, and business transformation, focusing on accelerating AI adoption across a large, multi-disciplinary organization. The specialist will act as a key bridge between technical teams and end users, translating AI capabilities into practical workflows that improve productivity and decision-making. Working closely with stakeholders at all levels, the role emphasizes training, change management, and hands-on support for AI-driven tools. It also involves identifying high-impact use cases, evaluating emerging technologies, and shaping structured implementation roadmaps. By building proof-of-concept solutions using no-code and low-code platforms, the specialist helps demonstrate real business value without engaging in full production development. This is a highly collaborative role where communication, clarity, and user empathy directly influence organizational success. The environment is fast-evolving, innovation-driven, and centered on responsible AI adoption.

Accountabilities

The role is responsible for driving AI awareness, adoption, and practical implementation across the organization by connecting business needs with accessible AI solutions.

  • Conduct needs assessments across departments to identify opportunities where AI can improve efficiency, workflows, and outcomes
  • Evaluate emerging AI tools and translate findings into actionable recommendations and implementation roadmaps
  • Design and deliver training programs, workshops, and documentation to support AI literacy and adoption across teams
  • Provide hands-on support during AI tool rollouts and help remove barriers to user adoption
  • Develop no-code and low-code proof-of-concept solutions to demonstrate real business value and validate feasibility
  • Collaborate with stakeholders and technical teams to ensure AI use cases are aligned with operational needs
  • Define success metrics, analyze usage data, and report on adoption impact to leadership
  • Requirements

    The ideal candidate combines strong communication skills with practical experience in AI enablement, training, and business analysis.

    • 3+ years of relevant experience in business analysis, digital transformation, AI enablement, or similar roles
    • Bachelor’s degree (Honours) in a related field
    • Strong ability to translate complex technical concepts into clear, accessible language for non-technical audiences
    • Experience designing and delivering training programs and supporting organizational change initiatives
    • Familiarity with no-code and low-code AI tools such as Microsoft Copilot Studio, Power Automate, or Claude.ai
    • Ability to build functional AI proof-of-concept solutions and demonstrate business value
    • Understanding of prompt engineering and large language model capabilities and limitations
    • Strong stakeholder management and cross-functional collaboration skills across all organizational levels
    • Ability to analyze adoption metrics and user data to inform decisions and improvements
    • Knowledge of data privacy principles and responsible AI practices in regulated environments
    • Experience in healthcare or clinical research environments is considered an asset
    • Benefits

      • Competitive compensation aligned with experience and market benchmarks
      • Fully remote or hybrid work flexibility depending on location
      • Opportunity to work on cutting-edge AI adoption initiatives at scale
      • Strong focus on professional development, training, and upskilling
      • Collaborative and cross-functional work environment with executive visibility
      • Exposure to modern AI tools, platforms, and responsible AI frameworks
      • Meaningful impact on organizational efficiency and digital transformation
Apply Now

Date Posted

06/02/2026

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