Req :
Remote Position:
Hybrid
Region:
Americas
Country:
Canada
State/Province:
Ontario
City:
Toronto
General Overview
Functional Area
:
Supply Chain Management (SCM)
Job Title
:
Senior Manager, Supply Chain
Job Level
:
Level 11
Direct/Indirect Indicator
:
Indirect
Position Overview
We are seeking an experienced and strategic Senior Manager of Supply Chain Analytics & Data Intelligence to lead our supply chain data transformation. In this role, you will bridge the gap between IT, supply chain operations, data engineering, and executive decision-making.
In constant collaboration with our IT partners, you will lead a high-performing team of data analysts and engineers to build and design real-time intelligence dashboards, and deliver actionable insights across a variety of supply chain functions including: supplier quoting and procurement, logistics, inventory management, contracts and incentives, risk and process execution.
Key Responsibilities
Strategic Leadership & Data Governance
Develop and execute the strategic roadmap for supply chain analytics, advanced modeling, and business intelligence across the enterprise.
Establish robust data governance, metrics standardization, and quality control frameworks across all supply chain data sources.
Partner with IT and Data AI Engineering teams to optimize data architecture, pipelines, and data warehouse infrastructure for analytics.
Establish data standards and monitoring systems for critical electronic component metrics, including lead-time variability, component end-of-life (EOL), and single-source risk exposure.
Partner with IT, and SCM Teams to integrate data streams from ERP, PLM and third-party component databases (e.g., Silicon Expert, IHS Markit) etc.
Advanced Analytics & Intelligence
Oversee predictive, and prescriptive analytics model outputs (e.g., demand forecasting, component allocation, risk management, lifecycle, etc).
Turn complex data sets into executive-level stories, KPIs, and actionable strategies that directly impact operational efficiency, cost reduction, service levels and time to outcome.
Evaluate and implement emerging data tools to enhance automated decision-making.
Operational Collaboration & Stakeholder Management
Act as the primary analytical partner to cross-functional leaders in Sourcing and Procurement, Logistics, Manufacturing, Finance, and Sales/Demand Planning.
Identify operational process bottlenecks, supply risks, and cost-saving opportunities through deep-dive exploratory data analysis.
Develop executive presentations detailing supply chain performance, data-driven forecasts, and strategic risk assessments through dashboards and scenario analysis detailing global supply chain risks, tariff exposure, and margin optimization strategies.
Team Development & Mentorship
Foster a culture of continuous learning, curiosity, and data-driven innovation within the organization.
Lead, mentor, and scale a team of supply chain analysts, data engineers, and BI specialists.
Cultivate a culture of proactive, data-driven decision-making across global supply chain teams.
Qualifications & Requirements
Education: Bachelor’s degree in Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or a related quantitative field. Master’s degree or MBA an asset.
Experience: 7+ years of progressive experience in supply chain analytics, operations, or data intelligence, with at least 2–3 years in a direct managerial/leadership role.
Technical
Skills:
Experience with BI and visualization tools (e.g., Power BI, Tableau).
Hands-on experience with statistical programming languages (PL/SQLl,Python or R).
Familiarity with enterprise systems (e.g., SAP, Oracle, Kinaxis) and cloud environments (Azure, Databricks) and electronics data tools (PLM systems,…
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