Job DescriptionSome 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...
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