Autonomous Supply Chain Data Lead: AI-Driven Master Data

Coca-Cola Co; Atlanta (GA); On-site; USD 202,000 - 229,000; Full time

Benefits offered by this job

Health benefits

Global exposure

Agile environment

Leadership development

Job summary

The Coca-Cola Company is seeking a Senior Director for Autonomous Supply Chain Data in Atlanta to define and lead the technology vision for master data and AI-enabled capabilities across the digital supply chain.

You will drive global SAP master data standardization, governance, and the deployment of AI/automation to improve productivity, compliance and safety across plants, logistics and operations.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 12+ years in an IT leadership role within a global consumer goods business.
• Proven leadership in master data authoring, monitoring & governance technologies.

Responsibilities

• Set the strategic direction and execute the Master data modernization roadmap.
• Lead a global team to standardize SAP master data across applications.
• Incorporate AI, analytics, automation to enable autonomous data creation and governance.
• Manage portfolio, budget, risks, and vendor engagements for data modernisation.
• Partner with Supply Chain and IT leaders to align capabilities with business needs.
• Establish governance, metrics, and value tracking for adoption and performance.

Skills

Agile

Budgeting

Leadership

Strategic IT

SQL

SDLC

Vendor Management

Microsoft Azure

Process Improvements

Risk Management

Decision Making

Strategic Alignment

Communication

Change Management

IT Roadmaps

Education

Bachelor’s degree in information systems, IT, CS, engineering, business administration, or related field

Tools

SAP

Microsoft Azure

Copilot

Job description

The Coca-Cola Company is seeking a Senior Director for Autonomous Supply Chain Data in Atlanta to define and lead the technology vision for master data and AI-enabled capabilities across the digital supply chain.

You will drive global SAP master data standardization, governance, and the deployment of AI/automation to improve productivity, compliance and safety across plants, logistics and operations.