Senior Systems Analyst: AI-Driven Enterprise Solutions

OCS

Toronto

On-site

CAD 100,000 - 118,000

Full time

10 days ago

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

The Ontario Cannabis Store is seeking a Senior Systems Analyst to lead end-to-end solution analysis for enterprise technology initiatives, translating high-level designs into concrete configurations and ensuring alignment with business requirements.

You will drive design quality, mentor teams, manage cross-functional workshops, and explore AI and automation opportunities to improve process efficiency and user experiences in a hybrid delivery environment.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field (or an equivalent combination of education and experience) is required.
5–8 years of experience in a Systems Analyst, Functional Consultant, or similar IT role supporting digital commerce platforms, customer portals, web applications, and large-scale business-critical systems.
Experience with APIs, web services, middleware, enterprise integrations, relational databases, data analysis, and troubleshooting end-to-end business transactions across web and backend systems.
Strong understanding of digital order management and customer-facing business processes, including retailer onboarding, account management, catalog management, inventory visibility, ordering, fulfillment, invoicing, and claims.

Responsibilities

Translate business requirements into scalable system solutions aligned with enterprise architecture standards and roadmaps.
Lead requirements gathering, solution design, impact assessments, and cross-functional workshops to define scope and identify risks.
Design and support enterprise platform configurations, data flows, and AI-enabled capabilities while ensuring governance and data quality.
Provide technical leadership and guidance to project teams, promoting best practices and traceability across the delivery lifecycle.
Act as liaison between business and technical stakeholders, mentoring team members and collaborating with vendors to support delivery.
Serve as SME for enterprise applications and Azure integration services, leading issue resolution, automation, and evaluation of emerging technologies, including AI/ML solutions.