Commodity Management Specialist (Specialize in PWB/PCB)General OverviewFunctional Area: Supply Chain Management (SCM)
Career Stream: Supply Chain Management (SCM)
Role: Specialist (SPE)
Job Title: Specialist, Material Costing and Awards
Job Code: SPC-SCM-MCA
Job Level: Level 08
Direct/Indirect Indicator: Indirect
Detailed DescriptionResponsible for all product or service sourcing.
Participates in the Customer Materials Commitment process through collection of materials pricing and Customer BOM analysis.
Conducts customer bids within the response time objectives.
Responsible for supplier performance reviews including performance reviews, business development and supplier awards programs.
Has frequent interaction and negotiation with senior executives of industry-leading multi-national companies.
Provides support to their internal customers.
Provides product cost support for products in assigned geographies.
Prepares bids including generation of BOM, cost analysis, negotiate with suppliers, and present bids to management.
Broad knowledge of the marketplace conditions for the area of specialization including industry pricing, technology and supply/demand trends.
Working knowledge of Celestica's global supply chain including strategic policies and objectives.
Ability to consolidate, manipulate and analyze large quantities of data.
Ability to handle multiple tasks while maintaining attention to detail and accuracy and working under tight time deadlines.
Ability to evaluate, prioritize and problem solve a variety of tasks to ensure their timely and accurate completion.
Ability to communicate effectively, both verbally and in writing, with a wide variety of internal and external customers.
Proficient development and working knowledge of Power BI required.
Develop and manage Business Intelligence data, and strategies.
Mandarin proficiency is required as the candidate will engage with external customers from China.
Typical Experience5 – 7 years experience (aligned to position seniority) in purchasing, commodity or engineering environment.
Minimum 2 years' experience with Machine Learning and the end-to-end modelling process of supervised learning problems with regression models with Python, R, or AutoML.
Familiarity with visualization products such as PowerBI or Tableau.
The ability to quickly familiarize yourself with new languages, tools, frameworks, and to stay informed on developments in ML techniques and technologies.
Strong knowledge of basic computer applications and the ability to learn and use multiple applications specific to this department including ERP and office systems.
Strong knowledge of purchasing principles and procedures.
Understanding of specific customer needs.
Strong communication, negotiation and presentation skills.
Typical EducationBachelor's degree in related field (Commerce or Engineering), or consideration of an equivalent combination of education and experience.
Supply Chain Management designation would be an asset.
Business or Engineering related degree.
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.
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). 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.#J-18808-Ljbffr