Director, Data Architecture & AI Engineering

Coca-Cola; Georgia; On-site; USD 180,000 - 240,000; Full time

Job summary

The Coca-Cola Company seeks a Director of NAOU Data Architecture & Engineering to lead architecture and engineering strategy for data, analytics, AI and data science capabilities across North America. You will guide complex enterprise-scale transformations and set standards for CI/CD, IaC, and MLOps.

This role partners with data scientists and AI engineers to move prototypes to secure, observable production solutions while aligning with enterprise direction and governance.

Qualifications

• Bachelor’s degree or equivalent professional experience; advanced degree is a plus.
• 12+ years of progressive experience in data architecture and analytics platforms.
• 5+ years leading architects, engineers or platform teams.
• Cloud-native architectures spanning lakehouse and warehouse platforms.
• Experience with enterprise cloud data platforms such as Azure, Fabric, OneLake, Power BI and Azure Databricks.
• Working knowledge of ML/AI lifecycles and MLOps.
• Knowledge of AI/ML technologies and frameworks such as Azure ML, Azure AI Foundry, MLflow, PyTorch, Spark ML, Semantic Kernel, LangChain.
• Knowledge of Generative AI architectures including LLMs, RAG, embeddings, vector search.
• Strong understanding of CI/CD, DevOps, DataOps, IaC, automated testing, orchestration, observability, cloud cost management.

Responsibilities

• 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, IaC, automated testing, orchestration, observability, metadata, lineage, data quality and reliability.
• Drive reusable frameworks and platform capabilities that accelerate delivery across multiple business domains.
• Improve workload performance, resilience and cost efficiency across cloud data, analytics and AI platforms.
• Define architecture patterns for end-to-end ML/AI lifecycle including experimentation, training, deployment, monitoring and lifecycle management.
• Establish MLOps practices for model versioning, reproducibility, CI/CD, deployment, registries, monitoring and retraining.
• Define secure patterns for Generative AI and agentic solutions with integration points.
• Partner with data scientists to transition prototypes into production-grade solutions.
• Establish architecture guardrails for Responsible AI, privacy, security and governance.
• Improve discoverability, accessibility and quality of trusted data and AI capabilities for faster decision making.

Skills

Data architecture

Data engineering

AI architecture

MLOps practices

Cloud platforms

CI/CD

Observability

Data governance

Generative AI

Model lifecycle

Education

Bachelor's degree in CS/Engineering/IS/Data Science or related field

Advanced degree, a plus

Tools

Azure

Azure Databricks

Power BI

OneLake

Fabric

MLflow

Spark ML

LangChain

Semantic Kernel

RAG

Job description

The Coca-Cola Company seeks a Director of NAOU Data Architecture & Engineering to lead architecture and engineering strategy for data, analytics, AI and data science capabilities across North America. You will guide complex enterprise-scale transformations and set standards for CI/CD, IaC, and MLOps.

This role partners with data scientists and AI engineers to move prototypes to secure, observable production solutions while aligning with enterprise direction and governance.