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.