Lead PLM Developer — SAP, MDG & Power BI

The Coca-Cola Company

Atlanta (GA)

On-site

USD 125,000 - 148,000

Full time

4 days ago
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Job summary

The Coca-Cola Company is seeking a Manager, PLM Developer in Atlanta, GA to lead the design, development, and delivery of PLM, master data and analytics solutions. You will work closely with R&D, Quality and Regulatory stakeholders to model data, customize SAP PLM apps, and build dashboards using Azure and Power BI.

Ideal candidates will have strong Power Platform skills, SAP PLM experience, and a proven ability to translate business requirements into scalable data solutions while ensuring data

Qualifications

  • Degree in Computer Science, IT, or related field.
  • Experience with Microsoft Power Platform.
  • Good knowledge of data modeling and database design.
  • SAP PLM development experience preferred.

Responsibilities

  • Lead design, development, and delivery of integrated PLM, master data and analytics solutions.
  • Build data analytics products, dashboards and reports using Azure and Power BI.
  • Develop extensions, workflows and UI5 interfaces to enhance user experience for recipe authoring.
  • Implement data governance, quality controls and DevOps for PLM master data products.
  • Create data-driven dashboards and reports for recipe statuses and compliance.
  • Support data migration initiatives from legacy systems into SAP PLM.

Skills

Power Platform
PowerApps
Power BI
Power Automate
Power Virtual Agents
Azure
SAP PLM
Data modeling

Education

Bachelor's degree in Computer Science / IT

Tools

SAP PLM
Azure

Job description

The Coca-Cola Company is seeking a Manager, PLM Developer in Atlanta, GA to lead the design, development, and delivery of PLM, master data and analytics solutions. You will work closely with R&D, Quality and Regulatory stakeholders to model data, customize SAP PLM apps, and build dashboards using Azure and Power BI.

Ideal candidates will have strong Power Platform skills, SAP PLM experience, and a proven ability to translate business requirements into scalable data solutions while ensuring data

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