This is a long-term contract position with an anticipated assignment timeframe of December 2026 through March 2027.
Responsibilities
Data Collection, Integration, and Analysis
Identify, collect, and connect data from multiple sources, including ERPs, ETQ, the data lake, and other relevant systems. Use this data to analyze plant performance, supplier inputs, and total cost of ownership opportunities.
Technical Benchmarking and Opportunity Identification
Collect external data and perform technical comparisons and benchmarking across plants to identify efficiencies, cost reduction opportunities, and risk mitigation actions. Validate opportunities through data-driven analysis and collaboration with relevant stakeholders.
Should-Cost Modeling
Work with collaborators to identify relevant suppliers for should-cost model development. Define the scope and purpose of each model, build models using cost equations, analyze cost drivers, break down costs into categories, and allocate costs to specific processes.
Cost Reduction and Supplier Risk Analysis
Validate should-cost models using real-world data and interpret results to identify potential price, specification, scope, or cost reduction opportunities. Support procurement and operations in identifying supplier quality and supply risk mitigation opportunities.
Dashboard, KPI, and Reporting Development
Identify relevant KPIs with input from operations and procurement. Create manual dashboards, implement automated models, and analyze dashboard outputs to identify supplier risk mitigation opportunities.
Communication and Leadership Reporting
Create reports using Excel, Power BI, PowerPoint, and other tools to communicate insights, drive continuous improvement, and report findings to collaborators and leadership. Prepare executive summaries and present information clearly and effectively.
RFA Process Support
Develop full knowledge of the Novelis RFA process and template. Create relevant RFAs based on data analysis activities and support technical evaluation of recommendations through data-driven analysis and presentations to leadership.
This role is expected to independently conduct detailed data analysis, develop technical models, validate opportunities, and recommend actions based on data-driven findings. The role does not have final decision-making authority over supplier selection, commercial commitments, or budget approval; however, it provides critical analytical input to support procurement, operations, and leadership decisions.
The role solves problems by collecting and connecting data from multiple sources, analyzing cost drivers, validating models with real-world data, and interpreting results to identify cost reduction and risk mitigation opportunities. The role requires the ability to convert technical, operational, and supplier data into practical recommendations for procurement and leadership decision-making.
The role is accountable for producing accurate analysis, reliable cost models, relevant dashboards, and actionable recommendations that support procurement savings, risk mitigation, supplier quality visibility, and continuous improvement. The role also supports the creation of RFAs and leadership presentations based on data analysis activities.
This role will report to the Project Manager, Senior Manager for NNA Procurement, and will work closely with procurement, operations, plant teams, leadership, and data and analytics partners. The successful candidate will collaborate across functions to identify supplier and cost improvement opportunities, validate plant-level data, support should-cost modeling, establish relevant KPIs, develop RFAs, and communicate findings and recommendations to leadership. The role will also engage with suppliers and external benchmarking sources as needed to support supplier quality reviews, cost-driver analysis, technical comparisons, and continuous improvement initiatives.
Minimum Qualifications
Bachelor’s degree in industrial engineering, electrical engineering, mechanical engineering, operations, supply chain, or a related field
Candidates should have at least two years of experience in manufacturing processes or a large-scale manufacturing environment involving metals, scrap, or similar operations.
Strong analytical, problem-solving, communication, and project management skills are required, along with the ability to work independently, manage competing priorities, and present findings effectively.
Experience working with multiple MRP systems is required
Proficiency with Excel and data analytics and reporting tools
Preferred Qualifications
Master’s degree in industrial engineering, electrical engineering, mechanical engineering, operations, or supply chain.
SAP and/or Coupa experience
Experience with the following is preferred: Microsoft 365 Copilot, Copilot Studio, Power Automate, Power Apps, Power BI, Azure AI / Azure OpenAI, ChatGPT or comparable enterprise GenAI platforms, Oracle, Celonis or comparable process-mining technology
Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship
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Location Profile
Novelis’ Global Corporate Headquarters is located in the Buckhead neighborhood of Atlanta Georgia and employs approximately 250 people. It is co-located with Novelis’ North America regional office which employs approximately 225 people. Supporting its 24 operations worldwide Novelis’ corporate office is home to the executive leadership team and global functions that support the automotive beverage can and high-end specialties value streams. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz Stadium. In the Atlanta area Novelis has strong community partnerships with Atlanta Habitat for Humanity GeorgiaFIRST and Agape Youth and Family Center in addition to many local museums and community groups.
Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.
Disclaimer
We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:1. Check the job posting is live and valid via our careers page: Careers - Novelis2. Verify any communication with us by contacting our talent team at Careers - Novelis
