below marketmost similar roles pay hereabove market
This role pays less than
87%
of similar roles. Most pay
$200,687–$270,275
— the blue band above.
At the midpoint, this role pays about
$184k
versus about
$235k
for comparable roles.
Based on 240 similar postings.
Employer
About The Coca‑Cola Company
The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods
The Coca‑Cola Company currently has
8 open roles
on FindRole.
Listed pay typically runs
$171,000–$198,000
across 7 roles with salary data.
JOB TITLE: Director, Architect, Data & Analytics
The Director, Architect, Data & Analytics serves as a thought leader for the North America Operating Unit, overseeing architecture and engineering strategies for data, analytics, data science, and AI capabilities. This role involves leading architects and engineers to build enterprise-level applications, establishing engineering standards for CI/CD, Infrastructure-as-Code, and MLOps, and driving reusable frameworks across commercial and supply chain initiatives. The position requires designing cloud-native architectures using Microsoft Azure, Microsoft Fabric, OneLake, Power BI, and Azure Databricks. Key technical competencies include managing ML lifecycles with PyTorch, Spark ML, LangChain, and Microsoft Semantic Kernel, alongside Generative AI technologies like RAG, embeddings, and vector search. The role solves complex problems regarding data governance, security, and the transition of AI prototypes into production-grade solutions.
Lead architects and engineers in building and operating enterprise-level data and AI capabilities.
Establish engineering standards for CI/CD, Infrastructure-as-Code, automated testing, and data quality.
Drive reusable frameworks and platform capabilities to accelerate delivery across commercial and supply chain initiatives.
Define architecture patterns for the end-to-end ML and AI lifecycle, including training, deployment, and monitoring.
Establish MLOps practices for model versioning, reproducibility, drift detection, and production support.
Define secure patterns for Generative AI solutions including RAG, embeddings, and vector search.
Establish architecture guardrails for Responsible AI, privacy, security, and model governance.
Communicate architecture choices, costs, and risks to senior leaders in clear business terms.
What we're looking for
Bachelor's degree in computer science, engineering, information systems, data science, or a related field, or equivalent professional experience.
Advanced degree is a plus (preferred).
12+ years of progressive experience in data architecture, data engineering, analytics platforms, data science platforms, AI architecture, or enterprise technology.
5+ years of experience leading architects, engineers, technical leaders, or multidisciplinary platform teams.
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.
Working knowledge of machine learning and AI solution lifecycles, MLOps practices, and Generative AI architectures including LLMs and RAG.
Data Architecture
Data Management
Machine Learning
Data Governance
Master Data Management
Cloud Data Platforms
Business Intelligence
Data Modeling
Data Quality
Agentic AI
Process Standardization
Automation
GxP
NIST AI RMF
ISO 42001
Data Science
Data Engineering
Data Architecture
Business Intelligence
Machine Learning
Artificial Intelligence
Cloud Architecture
Semantic Modeling
Data Quality
Statistical Methods
Data Products
Reporting & Insights
Automation
Data Strategy
SQL
Python
Streamlit
Tableau
Business Intelligence
AI/ML
Process Mining
Journey Analytics
Agile
Data Analytics
Information Governance
Statistics
Operations Research