Senior Business Systems Analyst, AI-Enabled Enterprise Solutions

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Overview

The TD Global Technology & Services team is seeking a Senior Business Systems Analyst with expertise in Generative AI process automation products to help shape AI-enabled solutions enabling complex enterprise workflows.

The Senior BSA analyzes current processes, defines future-state requirements, and translates business, operational, control, and technology needs into AI-enabled product opportunities. The role models context, workflows, system behaviours, human in the loop interactions, and evidence requirements helping product and engineering design solutions that are effective, traceable, and operationally sound.

Being the key part of an AI product development team, the successful candidate will bring strong systems thinking and practical AI business application knowledge within regulated technology environments.

Key Accountabilities

Current-State & Future-State Analysis, Requirements Management

• •Analyze complex business and technology workflows, identifying decision points, dependencies, constraints, manual activities, control requirements, and opportunities for AI integration.
• •Develop current-state and future-state models that clarify how proposed AI automations affect processes, people, technology, data, controls, and operational responsibilities.
• •Collaborate with key stakeholders to determine solutions, assess impact to existing work processes and systems, and how to manage the integration.
• •Lead technology requirements management for high risk, strategic initiatives

Workflow & Decision Modelling

• •Model end-to-end agentic workflows, business rules, behavioral logic, approvals, exceptions, escalations, and human intervention points.
• •Define expected agentic behaviour across standard, alternate, and failure scenarios. Ensure proposed solutions are feasible, testable and aligned with business and operational needs.

AI-Enabled Workflow Analysis

• •Assist Continuous Discovery and assess how AI and automation may affect workflows, decisions, roles, controls, and customer or colleague experiences.
• •Help develop and evaluate solution options, including appropriate boundaries between automated actions, AI-assisted recommendations, and human decisions. Define requirements for context, explainability, escalation, exceptions, and human oversight.

Interface, Event & Data Analysis

• •Analyze system interfaces, APIs, events, data exchanges, telemetry, and integration dependencies.
• •Define the information, triggers, conditions, responses, and error-handling requirements needed to support reliable interactions across systems and workflows.

Controls, Evidence & Auditability

• •Translate governance, risk, security, privacy, legal, compliance, and operational requirements into system behaviours, control flows, approval requirements, sign-off matrices, and evidence expectations.
• •Define exception handling and audit paths that support traceability, accountability, and appropriate oversight.

Data-Informed Decision Support

Use operational data, telemetry, customer feedback, and product insights to inform analysis, evaluate solution options, and support prioritization.

Work with Product Owners and data specialists to identify meaningful measures and translate findings into requirements and workflow improvements.

Support their team in translating requirements and use cases into test conditions and expected results for product, performance, user acceptance, and operational acceptance testing

Continuously enhance knowledge/expertise in own area and keep current with leading-edge technology trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

Team collaboration

• •Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• •Provides leadership and guidance, makes recommendations, and collaborates with business and technology to ensure the technology solution meets the business needs.
• •Provide thought leadership and/ or industry knowledge for practical AI application and latest industry trends; Participate in knowledge transfer within the team and business unit.
• •Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
• •Participate in personal performance management and development activities, including cross training within own team.
• •Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• •Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
• •Contribute to a fair, positive and equitable environment that supports a diverse workforce.

About You

Basic Qualifications

7+ years of experience in business systems analysis, business analysis, solution analysis, or technology delivery.

Experience analyzing complex enterprise workflows and defining current-state and future-state processes.

Strong experience with workflow, process, decision, business-rule, and exception modelling.

Experience developing functional requirements, non-functional requirements, user stories, and testable acceptance criteria.

Experience analyzing APIs, events, system interfaces, data contracts, telemetry, and integration dependencies.

Working knowledge of product and software development lifecycles, DevSecOps, and technology risk management.

Experience translating control and policy requirements into system behaviours, approval flows, evidence requirements, and audit paths.

Strong ability to challenge ambiguous, incomplete, or conflicting requirements.

Strong facilitation, communication, critical thinking, and stakeholder-management skills.

Preferred Qualifications

Experience with generative AI, agentic workflows, decision-support solutions, or human-AI interaction design.

Knowledge of release, change, incident, operational-readiness, or technology-risk practices.

Experience assessing the process, control, and operational impacts of AI-enabled automation.

Experience working within a product operating model and cross-functional agile teams.

Experience with behaviour-driven development, requirements traceability, and scenario-based testing.

Experience using telemetry, operational data, and product analytics to support product decisions.

Experience working in a complex, regulated enterprise environment.

• •Relevant business analysis, systems analysis, Agile, technology, or service-management certifications.
• •Bachelor’s degree in Business, Technology, Engineering, Information Systems, or a related field

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkab