Senior Manager, Supply Chain Analytics & Data Intelligence

Celestica; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Celestica is seeking a Senior Manager of Supply Chain Analytics & Data Intelligence to lead real-time dashboards and insights across sourcing, procurement, logistics, inventory, and contracts. You will bridge IT, operations, and executive leadership, driving data-driven decisions.

You will lead a team of analysts and engineers, establish data standards, and collaborate across ERP, PLM, and external data sources to optimize costs and service levels.

Qualifications

• Bachelor’s degree in SCM, Analytics, Data Science, Industrial Engineering, or related quantitative field.
• 7+ years in supply chain analytics, operations, or data intelligence with 2–3 years in a leadership role.
• BI tools such as Power BI or Tableau are required.
• Hands-on Python or R; familiarity with PL/SQL.
• Experience with SAP, Oracle, Kinaxis; cloud environments (Azure, Databricks) and PLM/SiliconExpert/IHS data tools.
• Strong storytelling with data, executive presence, and cross-functional project leadership.

Responsibilities

• Lead strategic roadmap for supply chain analytics and BI across the enterprise.
• Establish data governance, metrics standards, and data quality controls.
• Partner with IT and Data AI teams to optimize architecture and pipelines.
• Integrate data streams from ERP, PLM and external component databases.
• Develop executive dashboards and data-driven strategies for risk, cost, and service levels.
• Mentor a team of analysts and data engineers; promote data-driven decision making.

Skills

Cross-functional leadership

Storytelling with data

Executive presence

Strategic thinking

Education

Bachelor’s degree in SCM/Analytics/Data Science/Industrial Engineering

Master’s degree or MBA an asset

Tools

Power BI

Tableau

PL/SQL

Python

R

SAP

Oracle

Kinaxis

Azure

Databricks

PLM systems

SiliconExpert

IHS

Job description

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., 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 optimization, and procurement data.
• Soft Skills: Exceptional storytelling ability with data, strong executive presence, and a proven track record of managing cross-functional projects.

Preferred Certifications

• APICS/ASCM (CPIM, CSCP)
• Certified Analytics Professional (CAP) or data-related certifications
• Lean, Six Sigma Green or Black Belt an asset

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation,