Senior Manager, Supply Chain Analytics & Data Intelligence
Compensation
Not disclosed
Location
Not listed
Work setup
Remote
Seniority
Senior
Employment
Not specified
Experience
2+ years
Category
Logistics
Posted
Skills
ai
analytics
azure
business-intelligence
cloud
data-engineering
data-governance
data-science
data-warehousing
databricks
erp
networking
oracle
plm
powerbi
python
risk-assessment
sap
six-sigma
stakeholder-management
tableau
Must have
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.
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.
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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.
Senior Manager, Supply Chain Analytics & Data Intelligence at careers.celestica.com (Remote) — aijobsearch
- 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.
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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.
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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.
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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, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
COMPANY OVERVIEW:
Celestica, Inc. (NYSE: CLS; TSX: CLS) is a technology leader dedicated to driving customer success and market advancements. With deep expertise in design, engineering, manufacturing, supply chain, and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. With a talented team and a strategic global network, Celestica helps its customers achieve competitive advantages.
Today, Celestica delivers innovative supply chain solutions globally to customers in strategic two operating and reporting segments: Advanced Technology Solutions (ATS) and Connectivity and Cloud Solutions (CC):
ATS: This segment serves customers in complex, regulated and high-reliability markets such as Industrial & Smart Energy, Aerospace & Defense, Semiconductor Capital Equipment, and HealthTech. It is engineering led, with deep expertise in design, manufacturing and lifecycle solutions.
CCS: This segment focuses on high-performance technology solutions and services for the data center, serving hyperscalers, digital native customers and enterprises. Celestica's Platform Solutions offering provides innovative and customizable computing, storage and networking solutions enabling AI-driven growth.
Built on a legacy of trust and performance, Celestica has earned its reputation by delivering results in complex and fast-changing markets. Celestica exceeds customer expectations by identifying trends and staying ahead of the curve. Backed by comprehensive capabilities and a global network across North America, Europe and Asia, Celestica helps customers gain competitive advantage with the quality, flexibility and resiliency they need to respond quickly to shifts in demand. Guided by a bold vision to accelerate market advancements, Celestica delivers innovative solutions and technologies that turn complexity into opportunity. Anchored in teamwork and commitment, Celestica strives to be the most trusted partner to its customers and colleagues worldwide.
We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.
This posting is for an existing vacancy.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.