8 Nelson St W, Brampton, ON L6X 1B7, Canada | Posted on 10/14/2026
Industry Nonprofit Charitable Organizations
City 8 Nelson St W, Brampton, ON L6X 1B7
Country Canada
About Us At Toronto Business Development Centre (TBDC) , we're at the center of Canada's fastest-growing startup ecosystem—where global founders come to scale, raise capital, and build their future. Through flagship programs like Horizon, Pivot, GoEU, and Land & Expand, we connect entrepreneurs with the partners, capital, and growth strategies they need to succeed. Learn more at www.tbdc.com .
As TBDC continues to strengthen Canada's position as a global destination for innovation, two flagship initiatives - GoEU and Horizon - are playing a critical role in connecting Europe's most promising startups with Canada's thriving innovation ecosystem.

Together, these programs are building meaningful partnerships across Europe and Canada, helping creative companies expand internationally while creating long‑term economic impact.
Job Description 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.

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📌 AI Adoption & Business Analyst (Ontario)
🏢 TBDC
📍 Ontario