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TD SYNNEX Canada ULC

R56790 Business Analyst III - Artificial Intelligence

ON, Canada
Mississauga, ON, L5N 8E9, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English · French
Posted: Nov 2, 2026

Original job description

English section of this bilingual listing.

Actual annual compensation offered will be based on several variables including geographic location, work experience, education and skills/ achievements, and will be mutually agreed upon at the time of offer. The average compensation for this role is $85,000-$100,000 CAD

Job Purpose:

The Business Systems Analyst – Artificial Intelligence is a key role dedicated to driving the adoption and integration of AI technologies with the enterprise ERP system within the organization. This position is instrumental in managing the AI backlog and ensuring the successful implementation of innovative AI use cases that align with the company's strategic goals.

Responsibilities:

Cross Functional Collaboration: Partner with business systems analysts across various domains and teams to ensure seamless alignment with enterprise objectives. Foster strong relationships with both business and technical stakeholders to facilitate effective communication and collaboration.
AI Backlog Management: Lead the prioritization and management of the AI requirement backlog, ensuring that high-impact use cases are identified, developed, and implemented efficiently.
Requirement Gathering and Translation: Act as the bridge between business stakeholders and technical teams, expertly gathering complex business requirements and translating them into actionable AI solutions that deliver measurable business value.
Post-Implementation Support Leadership: Lead the ongoing support with the domain systems analysts. Optimize for AI systems post-implementation. Ensure sustained performance and continuous improvement.
Guide teams on new technologies, deliver structured training, and provide robust production support across a broader technology stack.
Build out formal adoption metrics. Dedicated capacity will allow us to establish these metrics to measure platform impact, track developer adoption, and drive data-backed decisions.
Deliver high-priority internal implementations alongside their advisory roles.
Systematically evaluate and integrate emerging AI and automation tools to streamline workflows and boost overall software engineering efficiency across the organization.

Knowledge, Skills and Experience:

Bachelor’s degree in Business, Computer Science, Information Systems, or a related discipline, or equivalent experience.
3 to 5 Years of relevant work experience
Experience gathering, analyzing, and translating business and system requirements into technology solutions.
Experience working with AI technologies and AI-enabled solutions, including requirements gathering and implementation.
Strong understanding of AI/ML concepts, prompt engineering, and data analytics tools.
Experience translating business requirements and data into actionable AI-driven solutions.
Experience designing or supporting proof-of-concept initiatives for emerging technologies.
Experience in the technology distribution industry is preferred.
Strong analytical, problem-solving, critical-thinking, and decision-making skills.
Strong communication and presentation skills, with the ability to effectively engage technical teams, business partners, and management.
Ability to influence stakeholders, communicate new ideas, and support the adoption of emerging technologies.
Strong organizational and time-management skills with the ability to manage multiple priorities and drive initiatives to completion.
Ability to work independently while collaborating effectively across cross-functional teams.
Adaptable and able to quickly learn new systems, technologies, and business processes.
Strong attention to detail with the ability to work effectively in a fast-paced, changing environment.
Bilingual candidates preferred (English + Mandarin Chinese)
Professional, office environment.

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What’s In It For You?

Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

As part of our recruitment process, TD SYNNEX uses artificial intelligence (AI), including an AI-supported phone screening, to assist in evaluating candidates. AI tools help inform the recruiting process, but all hiring decisions are made by our Talent Acquisition and hiring teams.

Read the full bilingual original

Job Purpose:

Responsibilities:

Cross Functional Collaboration: Partner with business systems analysts across various domains and teams to ensure seamless alignment with enterprise objectives. Foster strong relationships with both business and technical stakeholders to facilitate effective communication and collaboration.
AI Backlog Management: Lead the prioritization and management of the AI requirement backlog, ensuring that high-impact use cases are identified, developed, and implemented efficiently.
Requirement Gathering and Translation: Act as the bridge between business stakeholders and technical teams, expertly gathering complex business requirements and translating them into actionable AI solutions that deliver measurable business value.
Post-Implementation Support Leadership: Lead the ongoing support with the domain systems analysts. Optimize for AI systems post-implementation. Ensure sustained performance and continuous improvement.
Guide teams on new technologies, deliver structured training, and provide robust production support across a broader technology stack.
Build out formal adoption metrics. Dedicated capacity will allow us to establish these metrics to measure platform impact, track developer adoption, and drive data-backed decisions.
Deliver high-priority internal implementations alongside their advisory roles.
Systematically evaluate and integrate emerging AI and automation tools to streamline workflows and boost overall software engineering efficiency across the organization.

Knowledge, Skills and Experience:

Bachelor’s degree in Business, Computer Science, Information Systems, or a related discipline, or equivalent experience.
3 to 5 Years of relevant work experience
Experience gathering, analyzing, and translating business and system requirements into technology solutions.
Experience working with AI technologies and AI-enabled solutions, including requirements gathering and implementation.
Strong understanding of AI/ML concepts, prompt engineering, and data analytics tools.
Experience translating business requirements and data into actionable AI-driven solutions.
Experience designing or supporting proof-of-concept initiatives for emerging technologies.
Experience in the technology distribution industry is preferred.
Strong analytical, problem-solving, critical-thinking, and decision-making skills.
Strong communication and presentation skills, with the ability to effectively engage technical teams, business partners, and management.
Ability to influence stakeholders, communicate new ideas, and support the adoption of emerging technologies.
Strong organizational and time-management skills with the ability to manage multiple priorities and drive initiatives to completion.
Ability to work independently while collaborating effectively across cross-functional teams.
Adaptable and able to quickly learn new systems, technologies, and business processes.
Strong attention to detail with the ability to work effectively in a fast-paced, changing environment.
Bilingual candidates preferred (English + Mandarin Chinese)

Working Conditions:

Professional, office environment.

La rémunération annuelle réelle offerte sera établie en fonction de plusieurs facteurs, notamment le lieu géographique, l’expérience professionnelle, la formation ainsi que les compétences et les réalisations. Elle sera convenue d’un commun accord au moment de l’offre d’emploi. La rémunération moyenne pour ce poste se situe entre 85 000 $ et 100 000 $ CA.

Objectif du poste

L’analyste des systèmes d’affaires – Intelligence artificielle joue un rôle clé dans l’adoption et l’intégration des technologies d’intelligence artificielle (IA) au système ERP de l’entreprise. Cette personne joue un rôle essentiel dans la gestion du carnet de demandes liées à l’IA et veille à la mise en œuvre réussie de cas d’utilisation novateurs de l’IA qui s’harmonisent avec les objectifs stratégiques de l’entreprise.

Responsabilités

Collaboration interfonctionnelle : Collaborer avec les analystes des systèmes d’affaires de différents domaines et équipes afin d’assurer un alignement harmonieux avec les objectifs de l’entreprise. Établir et maintenir de solides relations avec les parties prenantes des secteurs d’affaires et des équipes techniques afin de favoriser une communication et une collaboration efficaces.
Gestion du carnet de demandes liées à l’IA : Diriger la priorisation et la gestion du carnet de demandes liées à l’IA afin de s’assurer que les cas d’utilisation à forte incidence sont identifiés, développés et mis en œuvre efficacement.
Collecte et traduction des exigences : Agir comme intermédiaire entre les parties prenantes d’affaires et les équipes techniques en recueillant des exigences d’affaires complexes et en les traduisant en solutions d’IA concrètes qui génèrent une valeur d’affaires mesurable.
Leadership du soutien après la mise en œuvre : Diriger les activités de soutien continu en collaboration avec les analystes de systèmes des différents domaines. Optimiser les systèmes d’IA après leur mise en œuvre afin d’assurer un rendement durable et une amélioration continue.
Guider les équipes dans l’adoption de nouvelles technologies, offrir de la formation structurée et fournir un soutien robuste en environnement de production dans l’ensemble d’un éventail élargi de technologies.
Élaborer des indicateurs formels d’adoption. Une capacité dédiée permettra d’établir ces indicateurs afin de mesurer l’incidence de la plateforme, de suivre l’adoption par les développeurs et de favoriser des décisions fondées sur les données.
Réaliser des mises en œuvre internes hautement prioritaires parallèlement aux responsabilités de conseil.
Évaluer et intégrer de manière systématique les nouveaux outils d’IA et d’automatisation afin de simplifier les flux de travail et d’accroître l’efficacité globale du développement logiciel au sein de l’organisation.

Connaissances, compétences et expérience

Baccalauréat en administration des affaires, en informatique, en systèmes d’information ou dans une discipline connexe, ou expérience équivalente.
De 3 à 5 ans d’expérience professionnelle pertinente.
Expérience dans la collecte, l’analyse et la traduction des exigences d’affaires et des exigences de systèmes en solutions technologiques.
Expérience avec les technologies d’IA et les solutions intégrant l’IA, notamment en matière de collecte des exigences et de mise en œuvre.
Solide compréhension des concepts d’IA et d’apprentissage automatique (IA/AA), de l’ingénierie de requêtes (prompt engineering) et des outils d’analyse de données.
Expérience dans la traduction des exigences d’affaires et des données en solutions concrètes fondées sur l’IA.
Expérience dans la conception ou le soutien d’initiatives de validation de concept pour des technologies émergentes.
Une expérience dans le secteur de la distribution de technologies constitue un atout.
Solides compétences en analyse, en résolution de problèmes, en pensée critique et en prise de décision.
Excellentes compétences en communication et en présentation, avec la capacité de collaborer efficacement avec les équipes techniques, les partenaires d’affaires et la direction.
Capacité à influencer les parties prenantes, à communiquer de nouvelles idées et à soutenir l’adoption de technologies émergentes.
Excellentes compétences organisationnelles et en gestion du temps, avec la capacité de gérer plusieurs priorités et de mener les initiatives à terme.
Capacité à travailler de façon autonome tout en collaborant efficacement avec des équipes interfonctionnelles.
Grande capacité d’adaptation et aptitude à apprendre rapidement de nouveaux systèmes, de nouvelles technologies et de nouveaux processus d’affaires.
Grand souci du détail et capacité à travailler efficacement dans un environnement dynamique et en constante évolution.
La préférence sera accordée aux personnes candidates bilingues (anglais et chinois mandarin).

What’s In It For You?

Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

Apply About employer

More about this job

Responsibilities

The Business Systems Analyst will lead the integration of AI technologies into the enterprise ERP system and manage the AI requirement backlog. They will act as a bridge between business stakeholders and technical teams to translate complex requirements into actionable AI solutions.

Requirements

Candidates must have a bachelor's degree in a relevant field and 3 to 5 years of experience in business systems analysis or AI implementation. Strong analytical skills and proficiency in AI/ML concepts and data analytics tools are required.

Skills

Artificial intelligence
Machine learning
Business analysis
ERP systems
Requirement gathering
Prompt engineering
Data analytics
Backlog management
Stakeholder management
Problem solving
Critical thinking
Communication
Presentation skills
Automation tools
Software engineering
Strategic planning

Benefits

Professional development
Leadership training
Business resource groups
Volunteering events

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Business Analyst
ERP
Requirement Gathering
Prompt Engineering
Data Analytics
Backlog Management
Automation
Software Engineering
Stakeholder Management
Proof-of-concept
Technology Distribution
Strategic Goals
System Integration
Workflow Optimization
Technical Support
Adoption Metrics
Cross-functional Collaboration
Decision Making

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