Predictive Planning & Inventory Supervisor

Canam; Mississauga; On-site; CAD 85,000 - 100,000; Full time

Job summary

Canam is seeking an Predictive Planning & Inventory Supervisor to lead supply chain operations, manage a small team, and oversee material purchasing, forecasting, and inventory control across key product lines. The role combines hands-on planning with leadership, mentoring a Senior Buyer, a Buyer, and an Inventory Control Clerk.

Expect to drive demand forecasting using AI/ML, refine stock levels, and automate workflows across the department while coordinating with Sales, Operations, Engineering,

Qualifications

• 5-7+ years of progressive experience in material purchasing, materials management, production planning, or supply chain analysis within a manufacturing environment.
• 1-3 years in direct supervisory capacity.
• Experience in steel or heavy manufacturing preferred.
• Proficiency with ERP systems and Excel; data analysis and dashboard skills.

Responsibilities

• Lead the demand planning cycle across product categories and maintain rolling forecasts.
• Collaborate with Sales, Operations, Engineering, and Project Management to validate assumptions.
• Manage material rolling dates, and prepare Monthly Material Requirement Overview.
• Monitor inventory levels, flag risks, and drive corrective actions.
• Design and implement ML models to optimize inventory and forecast demand.

Skills

Experience in material purchasing

Leadership & supervisory

ERP systems

Google Suite

Microsoft Excel

Data analysis & dashboards

AI/ML exposure

Tools

Google Suite

Microsoft Excel

Job description

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Job Description

The Predictive Planning & Inventory Supervisor is a hands‑on supervisory role responsible for leading supply chain operations across key product lines while directly managing a team of three: one Senior Buyer, one Buyer, and one Inventory Control Clerk. This position coordinates material purchasing, demand forecasting, and inventory control to optimize operational efficiency and supply chain performance.

In addition to providing leadership, team mentoring, and operational oversight, the Supervisor actively performs hands‑on material planning, inventory reconciliation, and demand forecasting tasks. The Supervisor leverages Artificial Intelligence, machine learning algorithms, and predictive analytics to refine demand forecasting, optimize stock levels, and automate workflows across the department.

Material Purchasing & Procurement Planning

• Analyze delivery certainty of larger projects.
• Evaluate inventory availability for non-standard requirements while optimizing availability for standard skews.
• Adjust material order requirements based on the delta between production forecasts and backlog.
• Monitor, identify, and correct system discrepancies to maintain ordering accuracy.
• Verify material requirements for project transfers from other Canam manufacturing plants.

Demand Planning, Forecasting & S&OP Alignment

• Lead the demand planning cycle across product categories (including Hot Rolled Angles, bridging, Channels, Cold Formed angles, and Deck coils), maintaining rolling forecasts, trend analysis, and seasonality tracking.
• Collaborate cross‑functionally with Sales, Operations, Engineering, and Project Management to validate demand assumptions and resolve forecast gaps.
• Update, present, and align S&OP (Sales & Operations Planning) files, track material rolling dates, and submit the Monthly Material Requirement Overview to Corporate.

Inventory Control & Operational Projects

• Monitor on‑hand, in‑transit, and on‑order materials daily; flag supply chain risks and potential stockouts or overstock events.
• Own inventory accuracy and maintain target inventory turns through established control procedures, cycle counts, reconciliations, and root cause analyses.
• Support facility operational improvement initiatives.

Data Analysis, AI & Process Automation

• Maintain, update, and publish key KPI reports and dashboards from internal systems to provide visibility into replenishment, backorders, and supplier performance
• Maintain and update critical decision‑making tools used for cost tracking, inventory visibility, and material planning
• Partner on process improvement initiatives to automate routine administrative tools and streamline purchasing workflows.
• Design, test, and implement machine learning algorithms and predictive models to optimize inventory levels and forecast demand.
• Proactively identify operational bottlenecks, investigate inventory discrepancies, and execute corrective action plans.
• Deliver high execution standards across all analytical, forecasting, reporting, and material planning tasks independently.

Qualifications

• Experience: 5-7+ years of progressive experience in material purchasing, materials management, production planning, or supply chain analysis within a manufacturing environment, including 1-3 years in a direct supervisory, team lead, or supervisory capacity.
• Industry Background: Previous experience with a steel mill, metal service center, fabrication plant, or heavy manufacturing environment preferred.
• Leadership & Supervisory Skills: Proven capability to lead, mentor, and direct small teams, manage conflict, set performance goals, and drive departmental alignment.
• Technical Proficiency:
  • Proficiency with ERP systems and Google Suite / Microsoft Excel.
  • Demonstrated capability in data analysis, dashboard creation, and working with complex datasets to drive decision‑making.
  • Exposure to or interest in machine learning, AI‑driven demand forecasting models, and workflow automation is a strong plus.
• Analytical & Problem‑Solving Skills: Strong analytical capabilities with a continuous improvement mindset; proven track record of root cause analysis, inventory reconciliation, and process optimization.
• Communication & Collaboration:Effectively across cross‑functional teams (Sales, Operations, Engineering, and Project Management).
• Project & Material Execution: Proven ability to manage project material flows, supplier tracking, and maintain compliance with quality, safety, and environmental policies.
• Self-Management: Highly organized with strong time-management skills and the ability to independently prioritize workload and deliver accurate reports under tight deadlines.
• Artificial Intelligence: Proficient in leveraging Artificial Intelligence to build custom AI assistants (Gems), analyze complex datasets, and forecast business trends.

Additional Information

Salary Range:
$85,000.00 – $100,000.00 Annually

In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, Canam Group Inc. is committed to providing employment accommodation.If you require accommodation to apply, or if selected to participate in an assessment process, please advise Human Resources of the nature of any accommodation(s) needed.

We are committed to employment equity.

Canam, an employer that makes you want to stay
Since 1960, Canam has been an employer with a strong, unifying and family‑oriented culture, rallying its 5,100 employees. Established in Canada, the United States, Romania, India and the Philippines, our company continues to grow thanks to the innovation and know-how of each and every one of our employees. In fact, in order to build structures that are known and recognized for their quality throughout North America, you need to feel that you have what it takes to succeed in these major projects. Proud of our accomplishments, we are here to stay, and it is with you that we want to do so.

Use of Artificial Intelligence in Applicant Screening:
Our recruitment system uses an artificial intelligence (AI) feature to rank applicants based on the job posting criteria. This AI does not make final decisions on applicant screening, assessment, or rejection.

Notice to Recruitment Agencies:
We do not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited candidate submissions will be considered the property of Canam Group Inc and no fees will be paid in the event the candidate is hired. We will contact preferred recruitment partners directly if and when additional support is needed.