Data & AI Business Analyst

Contract: 12 months

Location: Greater Toronto Area – Hybrid, 2 days per week in office

Office Locations: Downtown Toronto, Markham, or Mississauga, with occasional required attendance downtown Toronto

Position Overview

We are seeking a Data & AI Business Analyst to support an internal data science and machine learning development team within a large financial services organization.

This role is ideal for a technically minded Business Analyst who has worked closely with data scientists, machine learning teams, or AI-focused programs and is comfortable translating complex technical concepts into clear, structured documentation for both technical and business audiences.

A major focus of the role will be improving how the team captures, organizes, and leverages documentation throughout the machine learning model development lifecycle . The successful candidate will work closely with technical team members to document model development activities, analyses, insights, validation requirements, and key project information while helping establish a centralized knowledge repository for the team.

This is not a traditional requirements-heavy or product BA role. The ideal candidate will have robust documentation and communication skills combined with enough technical knowledge to understand data, AI/ML workflows, queries, and scripts.

Key Responsibilities

- Partner closely with data scientists, developers, and technical stakeholders supporting AI and machine learning model development initiatives
- Create and maintain clear, comprehensive documentation throughout the model development lifecycle
- Support documentation required for model validation and governance processes
- Translate complex technical concepts, model logic, workflows, analyses,



and findings into documentation that can be understood by business stakeholders
- Help design and establish a centralized documentation and knowledge hub for model development activities
- Capture key findings, analyses, decisions, and insights from previous model-development efforts so they can be leveraged across future initiatives
- Work with technical team members to understand model workflows, dependencies, development processes, and production considerations
- Perform basic data-related activities when required, including running and validating queries and testing scripts
- Support project coordination activities and collaborate with other teams using tools such as Jira when required
- Assist with general BA and project administration activities, including access requests and project documentation
- Participate in technical discussions, project working sessions, and in-person whiteboarding sessions as needed

Required Qualifications
- Previous experience as a Business Analyst, Technical Business Analyst, Data Business Analyst, or similar role
- Professional experience supporting data science, artificial intelligence, machine learning, advanced analytics, or data-focused initiatives
- Understanding of the machine learning/model development lifecycle , including how models move from development and testing through validation and production
- Strong experience producing technical and business-facing documentation




- Ability to communicate effectively with highly technical stakeholders and translate technical information for business audiences
- Hands-on familiarity with data querying and analysis , ideally including SQL
- Ability to understand, run, or validate technical queries and scripts
- Strong analytical, organizational, and communication skills
- Experience working across technical and business stakeholder groups
- Comfortable working independently in a highly technical, rapid-moving environment

Preferred Qualifications
- Experience supporting model validation, model governance, model risk, or AI governance
- Previous experience within banking or financial services
- Familiarity with Python or other scripting languages
- Experience working directly with data scientists, machine learning engineers, or AI development teams
- Experience building or maintaining centralized documentation repositories or knowledge-management frameworks
- Experience with Jira, Confluence, or similar project/documentation platforms
- Understanding of model productionization, data workflows, and technical development processes

Ideal Candidate The ideal candidate is someone who can comfortably sit in a meeting with data scientists and developers, understand the technical conversation, ask intelligent questions, and then turn that information into clear, organized, reusable documentation . You do not need to be a data scientist or machine learning engineer; however, you should have enough technical fluency to understand how data and AI solutions are developed, validated, and moved toward production.

This opportunity is particularly well suited to a Data/AI-focused BA with strong technical documentation skills who enjoys bringing structure to complex technical environments.

📌 AI Business Analyst (Toronto)
🏢 Kelly
📍 Toronto