AI Business Analyst

Kelly; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Kelly is seeking a Data & AI Business Analyst to support an internal data science and ML team within a large financial services organization. The role focuses on documenting model development lifecycle, governance, and knowledge management, translating complex technical concepts into clear documentation for business stakeholders.

You will collaborate with data scientists, developers and analysts to capture analyses, decisions, and production considerations, building a centralized documentation

Qualifications

• Experience as a Business Analyst or similar role.
• Experience supporting data science, AI, ML, or data-focused initiatives.
• Understanding of the ML/model development lifecycle from development to production.
• Strong documentation and ability to translate technical concepts for business audiences.
• Ability to query and analyze data, ideally with SQL.
• Comfortable working with cross-functional stakeholders and teams.
• Familiarity with Python or scripting languages is a plus.

Responsibilities

• Partner with data scientists, developers, and technical stakeholders supporting AI/ML model development.
• Create and maintain clear documentation throughout the model development lifecycle.
• Support documentation for model validation and governance processes.
• Translate complex technical concepts into documentation for business audiences.
• Help design a centralized documentation and knowledge hub for model development activities.
• Capture findings and decisions from previous model-building efforts for reuse.
• Work with technical teams to understand model workflows and production considerations.
• Run and validate queries and testing scripts as needed.
• Support project coordination using Jira and related tools.
• Assist with BA and project administration tasks, including access requests.
• Participate in technical discussions and whiteboarding sessions.

Skills

Documentation skills

Communication skills

Analytical thinking

Independent worker

Cross-functional collaboration

Tools

Jira

Confluence

SQL

Python

Job description

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 strong 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, fast-moving environment

Preferred Qualifications

• 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.