Director, Architect, Data & Analytics

0101 Coca-Cola North America; Atlanta (GA); On-site; USD 171,000 - 198,000; Full time

Job summary

The Coca-Cola Company is seeking a Director of NAOU Data Architecture & Engineering to lead architecture and engineering for data, analytics, data science and AI across North America. You will guide architecture strategy, establish standards for CI/CD, IaC, observability and MLOps, and work with data scientists and engineers to deliver secure, reliable production systems.

You will influence senior leaders, drive cost-efficiency and platform scalability while ensuring responsible AI practices and

Qualifications

• Bachelor's degree or equivalent professional experience in data-related field.
• 12+ years of experience in data architecture/engineering and analytics platforms.
• 5+ years of leadership of architects, engineers or platform teams.

Responsibilities

• Lead architects, data engineers, platform engineers and ML/AI engineers delivering enterprise data and AI capabilities.
• Establish CI/CD, IaC, automated testing, orchestration, observability and data quality standards.
• Drive platform capabilities and reusable frameworks across multiple business domains.
• Define ML/AI lifecycle architectures including experimentation, training, deployment, monitoring and governance.
• Establish MLOps practices for model/version control, deployment and drift detection.
• Collaborate with data scientists to transition prototypes to production-grade solutions.
• Define guardrails for Responsible AI, privacy, security and governance.
• Communicate architecture decisions and risks to senior leaders and stakeholders.
• Improve data discoverability, accessibility and trust across enterprise.

Skills

Agile Methodology

Analytics

Artificial Intelligence (AI)

Cloud Platform

Data Analytics

Data Science

Data Strategies

DevOps

Digital Transformation

Generative AI

Kotlin Programming Language

Microsoft Office

Microsoft SharePoint

Object-Oriented Programming (OOP)

Technical Solutions

Technology Strategies

User Experience (UX)

Education

Bachelor's degree in computer science, Engineering, Information Systems, Data Science or a related field

Tools

Azure Machine Learning

Azure AI Foundry

MLflow

PyTorch

Spark ML

Microsoft Semantic Kernel

LangChain

Job description

Job Description Summary

At The Coca-Cola Company, data and artificial intelligence are essential to creating connected experiences, enabling faster decisions and supporting sustainable growth. The Director, NAOU Data Architecture & Engineering will be thought leader in architecture and engineering strategy for data, analytics, data science and AI capabilities supporting the North America Operating Unit. Leads multiple highly complex projects and ensures the success of enterprise-level application rollouts; determines and develops architectural approaches and solutions; conducts business reviews; documents current systems and develops recommendations; may contribute in the planning of the overall organizational IT strategy. Individual contributor who guides others in resolving complex issues in specialized area based on existing solutions and procedures; works independently with guidance only in the most complex situations.

What You'll Do for Us

Lead architects, data engineers, platform engineers, ML/AI engineers and technical leaders responsible for building and operating enterprise data and AI capabilities. Establish engineering standards for CI/CD, Infrastructure-as-Code, automated testing, orchestration, observability, metadata, lineage, data quality, reliability and operational support. Drive reusable frameworks, golden paths and platform capabilities that accelerate delivery across commercial, customer, consumer, finance, supply chain, operations and digital initiatives. Improve workload performance, resilience and cost efficiency across cloud data, analytics and AI platforms. Define architecture and engineering patterns for the end-to-end ML and AI lifecycle, including experimentation, feature engineering, training, evaluation, deployment, inference, monitoring and lifecycle management. Establish MLOps practices for model and experiment versioning, reproducibility, CI/CD, automated deployment, model registries, monitoring, drift detection, retraining and production support. Define secure patterns for Generative AI and agentic solutions, including Retrieval-Augmented Generation (RAG), embeddings, vector search, enterprise grounding, evaluation, model orchestration, AI agents, APIs and Model Context Protocol integration where appropriate. Partner with data scientists and AI engineers to transition prototypes into secure, observable, reliable and production-grade solutions. Establish architecture guardrails for Responsible AI, privacy, security, model governance, explainability, evaluation and appropriate human oversight. Improve the discoverability, accessibility, quality and usability of trusted data and AI capabilities so teams can move from questions to decisions more efficiently. Communicate architecture choices, dependencies, value, cost and risk in clear business terms to senior leaders and cross-functional stakeholders. Partner with Global Data & AI, Enterprise Architecture, Cybersecurity, Privacy, Governance and platform organizations to align NAOU solutions with enterprise direction. Mentor and develop technical talent, strengthen succession pipelines and enable teams to make decisions within clear architectural guardrails. Measure success through adoption, delivery speed, reliability, quality, reuse, cost efficiency, risk reduction and realized business value.

Requirements and Qualifications

Bachelor's degree in computer science, Engineering, Information Systems, Data Science or a related field, or equivalent professional experience; advanced degree is a plus. 12+ years of progressive experience in data architecture, data engineering, analytics platforms, data science platforms, AI architecture or enterprise technology, including leadership of complex enterprise-scale transformations. 5+ years of experience leading architects, engineers, technical leaders or multidisciplinary platform teams, including responsibility for talent development and delivery outcomes. Demonstrated experience designing cloud-native architectures spanning lakehouse and warehouse platforms, data products, streaming, APIs, semantic models and analytical consumption. Experience with enterprise cloud data platforms such as Microsoft Azure, Microsoft Fabric, OneLake, Power BI and Azure Databricks, or comparable technologies. Working knowledge of machine learning and AI solution lifecycles and MLOps practices, including experimentation, deployment, model registries, monitoring, drift detection, reproducibility and governance. Knowledge of AI/ML technologies and frameworks such as Azure Machine Learning, Azure AI Foundry, MLflow, PyTorch, Spark ML, Microsoft Semantic Kernel, LangChain or comparable platforms and frameworks. Knowledge of Generative AI architectures, including LLMs, RAG, embeddings, vector search, enterprise grounding, AI agents, evaluation and API/MCP-based integration. Strong understanding of CI/CD, DevOps, DataOps, Infrastructure-as-Code, automated testing, orchestration, observability and cloud cost-management practices. Deep understanding of data governance, security, privacy, metadata, lineage, quality, access control, model governance and Responsible AI principles. Demonstrated ability to influence senior business and technology leaders, lead decisions across organizational boundaries and communicate complex topics in clear business language. Experience translating technology investments into measurable outcomes across reliability, adoption, speed, cost, risk and business value. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills

• Agile Methodology
• Analytics
• Artificial Intelligence (AI)
• Business Processes
• Cloud Platform
• Communication
• Data Analytics
• Data Flow Diagram
• Data Science
• Data Strategies
• DevOps
• Digital Technology
• Digital Transformation
• Emerging Technologies
• Enterprise Architecture Framework
• Enterprise Content Management (ECM)
• Generative AI
• Kotlin Programming Language
• Microsoft Office
• Microsoft SharePoint
• Object-Oriented Programming (OOP)
• Technical Solutions
• Technology Strategies
• User Experience (UX)

Pay Range

United States: 171,000 - 198,000 USD Base pay offered may vary depending on geography, job-related knowledge, skills, and experience.

Annual Incentive Reference Value Percentage

30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s)

United States of America

City/Cities

Atlanta

Travel Required

00% - 25%

Relocation Provided

No

Job Posting End Date

November 6, 2026

Our Purpose and Growth Culture

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

The Coca-Cola Company is a global community of passionate employees who are refreshing the world and making a difference every day. Innovation has been at the heart of our story since 1886. It goes beyond new flavors and brands. Learn more about our system and how we’re making an impact.

As a global organization, we seek opportunities to embrace and champion progress. Our careers span across functions and are globally connected to give you an unmatched career experience.

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The Coca‑Cola global business system is composed of The Coca‑Cola Company (TCCC), its subsidiaries and 225 bottling partners around the world. Search jobs throughout our system.