Process Automation Engineer – Supply Chain Replenishment Center of Excellence

Some of what you will do: The Process Automation Engineer – Supply Chain Centre of Excellence supports the Supply Chain Replenishment team by designing, testing, and deploying practical analytics, automation, and AI-enabled solutions that improve forecasting, replenishment, and decision-making. This role focuses on rapid experimentation and deployment of solutions using cloud-based analytics and AI tools, including Google Cloud Platform (GCP) and Vertex AI. The emphasis is on delivering business value quickly through iterative development rather than long-cycle enterprise builds. Specifically, you will: Artificial Intelligence, Analytics & Automation * Build, test, and deploy analytics and AI-enabled solutions to support forecasting, replenishment, and exception management * Use Vertex AI and related GCP services to prototype and operationalize models and data-driven tools * Apply automation to reduce manual effort and improve accuracy in replenishment processes * Enhance existing tools and models based on performance and user feedback Rapid Delivery & Continuous Improvement * Translate business problems into simple, testable solutions and iterate quickly * Develop minimum viable solutions to validate value before scaling * Identify continuous improvement opportunities through data analysis and exception trends * Track and report solution effectiveness using Key Performance Indexes and dashboards Technical & Business Support * Develop and maintain queries, scripts, and data pipelines using SQL and Python * Support system enhancements and UAT related to analytics, automation, and Artificial Intelligence capabilities * Integrate solutions with existing forecasting and replenishment platforms (e.g., JDA / Blue Yonder) * Provide documentation and training to support adoption of new tools and processes Collaboration & Enablement * Partner with replenishment analysts, IT, and other business partners to deliver solutions * Communicate technical concepts in clear, business-friendly language * Act as a technical resource within the Replenishment COE, influencing through expertise Physical demands/working conditions: Office environment – Hybrid, with 4 days onsite in Richmond Hill, subject to the hybrid policy. Some of what you need: Technical Skills & Knowledge * Hands-on experience with GCP analytics services and Vertex AI * Proficiency in Python and SQL for analysis, automation, and prototyping * Experience working with large datasets and cloud-based data platforms * Familiarity with basic machine learning and forecasting concepts (not research-level) * Experience integrating analytics or automation into business workflows Analytical & Business Skills * Strong analytical and problem-solving skills * Ability to translate business questions into practical technical solutions * Strong communication and collaboration skills * Results-oriented, with comfort working in iterative and ambiguous environments Experience: * 5+ years’ Experience delivering analytics, automation, or data-driven solutions in a business setting * Exposure to forecasting, replenishment, or planning systems is an asset * Experience working in agile or fast-paced environments Education: * Bachelor’s degree in engineering, Supply Chain, Analytics, Computer Science, or a related field is preferred * Equivalent practical experience will be considered Some of what you will get: * Associate discount * Health and Dental benefits * RRSP/DPSP * Performance bonuses * Learning & Development programs * And more... #MakeAnImpact We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes all final decisions. This posting is for an existing vacancy.

The Process Automation Engineer designs, tests, and deploys AI-enabled analytics and automation solutions to optimize supply chain forecasting and replenishment. They also collaborate with business partners to integrate these tools into existing workflows while ensuring continuous improvement through iterative development.

Candidates must have 5+ years of experience in analytics, automation, or data-driven solutions, with proficiency in Python, SQL, and Google Cloud Platform. A bachelor's degree in engineering, supply chain, analytics, computer science, or a related field is preferred.

• Associate discount • Health and Dental benefits • RRSP/DPSP • Performance bonuses • Learning & Development programs

• SQLSouhaitée
• Résolution de problèmesSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• CommunicationSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Google Cloud Platform
• Vertex AI
• Python
• SQL
• Data analysis
• Automation
• Machine learning
• Forecasting
• Supply chain replenishment
• Data pipelines
• Prototyping
• Agile methodology
• Problem-solving
• Communication
• Collaboration
• System integration
• Gemini Enterprise Agent Platform
• Business Problems
• Supply Chain
• Workflow Management
• Google Cloud Platform (GCP)
• Planning
• Research
• Acceptance Testing
• Agile Methodology
• Artificial Intelligence
• Data Analysis
• Dashboard
• Business Process Automation
• Business Support Systems
• Business Valuation
• Decision Making
• Computer Science
• Continuous Improvement Process
• Management By Exception
• Iterative And Incremental Development
• Problem Solving
• Python (Programming Language)
• Machine Learning
• SQL (Programming Language)
• Testability
• User Feedback
• Data Pipelines

• Data & Analytics
• Technology
• Logistics
• Engineering
• Software
• Replenishment Manager
• Automation Engineer
• Computer Network Professionals
• Computer Network Architects

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine