Process Automation Engineer – Supply Chain Replenishment Center of Excellence

Job Description 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 About Us 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.

Design, test, and deploy AI-enabled analytics and automation solutions to improve supply chain forecasting and replenishment. Focus on rapid experimentation using GCP and Vertex AI to deliver business value through iterative development.

Requires 5+ years of experience delivering data-driven solutions and proficiency in Python, SQL, and GCP analytics services. A bachelor's degree in Engineering, Supply Chain, Analytics, or Computer Science is preferred.

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

• SQLSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• Google CloudSouhaitée
• PythonSouhaitée

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

• GCP
• Vertex AI
• Python
• SQL
• Machine Learning
• Forecasting
• Process Automation
• Data Pipelines
• Supply Chain Replenishment
• Agile Methodology
• JDA / Blue Yonder
• Data Analysis
• Analytical Problem Solving
• Technical Documentation
• UAT
• Cloud Computing

• Data & Analytics
• Engineering
• Logistics
• Retail
• Technology

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

4 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine

Niveau d’expérience

Mid-Senior level