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AI Adoption & Business Analyst

TBDC


Job Location:

Brampton - Canada

Monthly Salary: Not provided by the employer
Experience Required: 1-3years
Posted: 15 October 2026 (20 hours ago)
Application Deadline: 12 January 2027
Vacancies: 1 Vacancy

Job Summary

BHive AI seeks an AI Adoption & Business Analyst to assess business operations identify practical AI use cases and develop evidence-based AI adoption plans for participating businesses. The role connects business needs with appropriate AI technologies through process analysis readiness assessments requirements gathering solution evaluation pilot support and performance measurement. This is an analytical and advisory role not a client success sales or account management position.


Key Responsibilities
Business Process Analysis
  • Assess organizational operations workflows existing technology and business challenges.

  • Map current-state processes and identify inefficiencies repetitive tasks and automation opportunities.

  • Gather requirements through structured interviews document reviews and data analysis.

  • Document future-state processes operational dependencies and measurable improvement opportunities.


AI Readiness and Maturity Assessment
  • Evaluate data availability quality governance technology infrastructure workforce capabilities and organizational readiness.

  • Identify technical operational financial privacy and security constraints.

  • Assess the appropriate pace and sequence of AI adoption for each business.

  • Produce clear readiness assessments with prioritized gaps and recommendations.


AI Use Case Identification and Evaluation
  • Identify business-specific applications of AI across functions such as operations finance marketing HR and service delivery.

  • Compare relevant AI products workflow automation options and implementation approaches.

  • Define the business problem target users requirements benefits estimated costs and risks for each use case.

  • Prioritize opportunities by business impact feasibility effort and expected return on investment.


AI Adoption Roadmaps and Pilot Support
  • Develop phased adoption roadmaps covering priorities resources dependencies timelines training needs and success measures.

  • Translate business requirements into clear specifications for AI consultants technical specialists or implementation partners.

  • Support solution selection pilot design user testing feedback collection and implementation planning.

  • Identify change-management privacy data security and responsible-AI considerations.

  • Technical solution engineering and deployment remain with designated technical specialists.


Business Impact and Data Analysis
  • Establish operational baselines and define measurable outcomes before implementation.

  • Analyze potential and realized impacts on time cost quality productivity and business performance.

  • Prepare business cases cost-benefit assessments dashboards and progress reports.

  • Document pilot results and recommend whether to adjust scale or discontinue a solution.


Research and Program Improvement
  • Research AI applications and implementation approaches relevant to small and medium-sized businesses.

  • Develop reusable readiness tools assessment templates process maps use case documentation and roadmap formats.

  • Identify recurring adoption barriers and share evidence-based recommendations with BHive AI leadership.

  • Contribute to case studies and program outcome reporting.


Qualifications
  • Degree in Business Analytics Information Systems Computer Science Engineering Business or a related discipline or equivalent relevant experience.

  • Experience with business analysis requirements gathering process improvement digital transformation or technology implementation.

  • Working knowledge of generative AI automation platforms and practical AI business use cases.

  • Ability to evaluate data quality interpret business metrics and communicate findings clearly to nontechnical stakeholders.

  • Experience documenting workflows building business cases and presenting recommendations.

  • Familiarity with privacy responsible AI practices and Canadian business environments is an asset.