Req ID: 141441
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
Summary
As a SCM Data Advisor, you will act as the crucial bridge between our Supply Chain Management operations and our advanced Data Science and AI teams. In this role, you will support the end-to-end lifecycle of Data Science and AI projects across all SCM processes. You will partner with cross-functional business leaders to identify operational bottlenecks, translate them into actionable AI/data initiatives, and help manage the successful delivery, deployment, and adoption of innovative supply chain solutions.
Detailed Description
SCM AI Integration: Partner with supply chain domain experts to understand operational workflows and identify high-value technical opportunities where AI, machine learning, and data pipelines can optimize global SCM strategies.
AI & Data Project Support: Support the planning, execution, and day-to-day management of data science and machine learning projects, ensuring they align with overarching global SCM strategies.
Cross-Functional Translation: Bridge the communication gap by translating complex SCM business problems into clear technical requirements for data scientists and engineers.
Pipeline & Solution Facilitation: Assist in the design and facilitation of data pipelines and AI models, working hands-on with the team to ensure solutions are tailored to solve specific, measurable business problems.
Change Management & Adoption: Drive the rollout, adoption of new AI tools and dashboards across the supply chain organization, ensuring the business actually leverages the technology to achieve incremental results.
Performance Tracking: Monitor project milestones, track key performance indicators (KPIs), and report on the ROI and operational improvements generated by deployed data initiatives.
Knowledge/Skills/Competencies
1. Core AI/ML Expertise: Deep, hands-on experience building models in Machine Learning (ML), Natural Language Processing (NLP), and Deep Learning. Proven capability working with Large Language Models (LLMs), Transformer architectures, and building RAG-based (Retrieval-Augmented Generation) applications to solve business problems.
2. Programming & Big Data: Expert-level proficiency in Python and PySpark for scalable data processing, data manipulation, and advanced analytics. Strong command of relational SQL databases
3. Data Engineering & MLOps: Advanced understanding of data engineering concepts, tool integration, and deploying scalable machine learning models using MLOps and CI/CD pipelines.
4. AI Integration & MCP Servers: Practical experience implementing the Model Context Protocol (MCP). Ability to configure, build, and manage MCP servers to securely and standardly connect AI models/agents with enterprise SCM data sources, internal operational tools, and external APIs
5. Data Visualization & Reporting: High proficiency in Power BI to build technical analytics dashboards that clearly communicate complex data insights, model performance, and ROI to operational leaders.
6. Cloud Proficiency (Multi-Cloud): Hands-on experience architecting and deploying AI solutions within Microsoft Azure (Databricks, Data Factory) and Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage)
7. Technical Agility: A demonstrated ability to quickly learn, adopt, and implement emerging languages, technical frameworks, and AI tools as the technology landscape evolves.
8. Technical SCM Execution: Ability to leverage technical expertise to map end-to-end Supply Chain Management (SCM) processes to advanced technical solutions, acting as the lead technical architect on operational data projects.
Salary
The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.
The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.
Salary Range: $104,732-$150,000
Typical Experience
Prefer 5+ years of relevant supply chain experience and AI experience.
Typical Education
Post-secondary education or University Degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Analytics, or consideration of an equivalent combination of education and experience.
Notes
This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
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.
