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Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Global Procurement Analytics & Insights Lead

Data ManagementUpdated on Nov 14
Full-timeAtlanta, GA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Business Analytics, Data Management, Information Systems, Supply Chain, Finance, Engineering, Economics, Statistics, Computer Science, or a related field is required.
  • Five to eight years of relevant experience in business data analysis, data stewardship, master data management, data governance, procurement analytics, business intelligence, ERP support, or process excellence is required.
  • Experience working across business and technical teams in a global, matrixed organization is required.
  • Demonstrated experience identifying data quality issues, translating requirements, validating technical solutions, and supporting remediation is required.
  • A strong functional understanding of ERP systems and the relationships among business processes, master data, transactions, integrations, and reporting is required.
  • Understanding of data lakes, data warehouses, data pipelines, source-to-target mappings, data models, and transformation logic is required.
  • Knowledge of data governance, stewardship, metadata, lineage, classifications, business glossaries, quality rules, and controls is required.
  • Strong analytical and problem-solving skills, stakeholder influence, communication skills, and close attention to detail are required.

Responsibilities

  • Partner with Global Non-Metal category teams, regional procurement teams, Finance, Supply Chain, IT, Digital, Data Engineering, Master Data Management, and Governance teams.
  • Build an understanding of procurement operations, priorities, pain points, and decision-making needs.
  • Translate business processes and governance expectations into clear data definitions, transformation rules, acceptance criteria, and technical requirements.
  • Communicate technical data concepts, constraints, and solution options in clear business language, and coordinate business validation and user acceptance testing.
  • Apply data governance standards and controls throughout the procurement data lifecycle, including ownership, definitions, classifications, lineage, quality standards, and access.
  • Maintain critical datasets, attributes, mappings, hierarchies, reference data, metadata, business rules, and transformation logic.
  • Use master data tools such as Informatica to review, validate, enrich, maintain, and monitor procurement-related master data.
  • Partner with data owners, stewards, engineers, and governance teams to establish accountability for critical data elements and resolve duplicate, incomplete, inconsistent, or incorrectly classified data.
  • Review procurement data from multiple sources to understand definitions, lineage, completeness, structure, and intended business use.
  • Define and validate transformation logic and assess the upstream and downstream impacts of data changes across ERP systems, integrations, master data tools, data lakes, and reporting platforms.
  • Partner with data engineers to validate source-to-target mappings, pipelines, data models, transformation logic, and outputs.
  • Define and monitor data quality measures for completeness, accuracy, consistency, validity, timeliness, and uniqueness.
  • Lead root cause analysis and coordinate cleansing, correction, validation, enrichment, and remediation activities, including preventive controls that sustain data quality.
  • Support testing, validation, implementation, and stabilization of ERP, procurement platform, integration, and reporting enhancements.
  • Govern the definitions, data elements, hierarchies, mappings, measures, calculations, filters, and quality expectations used in Procurement reporting and analytics.
  • Validate the integrity of source data and transformation logic before certified data products are released or changed.
  • Identify process inefficiencies, control gaps, quality risks, and opportunities for standardization or automation.
  • Contribute to global procurement transformation, digital enablement, process mapping, performance measurement, and continuous improvement initiatives.
  • Develop repeatable practices, documentation, and controls that improve the reliability and scalability of procurement data processes.

Desired Qualifications

  • An advanced degree or relevant certification in analytics, data management, governance, process improvement, or supply chain is preferred.
  • Experience with master data management tools such as Informatica and related stewardship workflows is preferred.
  • Working knowledge of Power BI, Tableau, or another enterprise business intelligence platform is preferred.
  • Experience with SQL and data querying, transformation, validation, and analytical techniques is preferred.
  • Knowledge of procurement processes and the business use of supplier, spend, contract, purchasing, and operational data is preferred.

About the Company

Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Novelis produces flat-rolled aluminum products and is the world’s largest aluminum recycler. It creates aluminum sheets and plates for aerospace, beverage cans, automotive, and high-end markets through an integrated network of rolling mills and recycling facilities worldwide, using scrap and primary material to make consistent, high-quality products. It differentiates itself by its global scale and the integration of rolling and recycling across multiple regions, plus a strong focus on health, safety, and community partnerships. Its goal is to be the leading global provider of flat-rolled aluminum and aluminum recycling solutions, delivering reliable, sustainable products worldwide.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.2B
Headquarters
Zurich, Switzerland
Founded
2005

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