Senior Manager, Supply Chain Analytics & Data Intelligence
Celestica International LPReq ID: 139835
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 l
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ead 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., SiliconExpert, 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, Silicon Expert, IHS).
• Supply Chain Expertise: Deep understanding of end-to-end supply chain functions, including S&OP, inventory management, logistics optimiza