Marketing Analytics & AI Automation Lead

Williams-Sonoma, Inc.; San Francisco (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Employee discount on all brands

401(k) and investment opportunities

Paid time off

Health, dental and vision insurance

Commuter benefits

Wellness program

Job summary

Williams‑Sonoma, Inc. is seeking a data‑driven marketing analytics professional who sits at the crossroads of strategy, data, and AI. You will collaborate with Digital Marketing, CRM, and Loyalty to translate data into scalable actions and automation.

As AI capabilities evolve, you’ll pilot agentic workflows, surface insights, and help the marketing organization operate more efficiently with data and technology.

Qualifications

• 2+ years in marketing analytics, data engineering, or similar, preferably for a consumer brand or agency.
• Strong SQL skills; comfortable with cloud data environments (Snowflake, Databricks).
• Proficiency in Python for data analysis and automation.
• Deep understanding of digital marketing ecosystem across paid media, ad tech, CRM, and channels.

Responsibilities

• Partner with Digital Marketing, CRM, and Loyalty teams to deliver targeting solutions and workflow automation.
• Build and maintain data pipelines connecting e-commerce, clickstream, CRM, and third‑party data to marketing use cases.
• Identify high ROI opportunities to automate marketing processes into scalable solutions.
• Surface actionable insights from complex datasets and communicate findings to non‑technical stakeholders.
• Evaluate and scale ReAct agents, Custom GPTs, and agentic workflows across Marketing Operations.

Skills

SQL

Python

Tableau

Domo

Power BI

Time series

MMM/MTA

Education

Bachelor's degree in quantitative or technical field

Tools

Snowflake

Databricks

Job description

Williams‑Sonoma, Inc. is seeking a data‑driven marketing analytics professional who sits at the crossroads of strategy, data, and AI. You will collaborate with Digital Marketing, CRM, and Loyalty to translate data into scalable actions and automation.

As AI capabilities evolve, you’ll pilot agentic workflows, surface insights, and help the marketing organization operate more efficiently with data and technology.