Role: Principal, Head of AI
Team: Data & Analytics
Scope: Individual contributor
Reports To: Senior Director, Data & Analytics
Years of Experience: 10+
Location: Ventura, CA
Patagonia is on a journey to utilize Data & Analytics to power its purpose – helping save the home planet. We’re building a technology organization that blends the best of industry & technical skills with the passion for solving unsolved problems, all for the greater good. And we’re having fun doing it!
As the Principal, Head of AI on the Data & Analytics team, you will be empowered to solve meaningful problems leveraging AI for a brand with a bold mission – to Save Our Home Planet. You will collaborate with other members of technology including engineering, architecture, operations, data & analytics along with other key functional & senior leaders across the company to accomplish these 4 primary priorities:
To create and drive a multi-year AI strategy that builds capabilities & skillsets, deliver valuable outcomes through projects & programs, and advances our overall company strategies through AI To build a matrixed AI organization that will use machine learning, GenAI and advanced qualitative & statistical methods to power key decisions Enhance our data-powered culture, advancing awareness & support for AI capabilities to power our most important opportunities To drive the technical platform requirements & features needed to support these efforts.

EXPERIENCE YOU BRING:

• 10+ years of analytical modeling experience with a Bachelor’s degree or equivalent work experience in: Computer Science, Economics, Statistics, Mathematics, Operations Research, Information Systems, Analytics, or other relevant expertise
• Proven experience in advanced analytics, data science and/or AI leadership roles, ideally within consumer goods, retail, or sustainability-focused organizations
• Experience with multiple applied retail advanced analytics problems such as Forecasting, NLP, Image Recognition, Clustering and Segmentation, Optimization & Attribution
• Familiarity with retail domains such as customer segmentation, demand forecasting, pricing & promotion optimization, inventory optimization, marketing modeling & attribution & product attribution
• Familiarity with GenAI concepts, models and platforms
• Proficiency in programming languages such as Python, R, or Julia
• Experience with ML frameworks such as PyTorch and/or Tensorflow
• Cloud-based data platform experience – Snowflake/Databricks/AWS/Google/Azure
• Experience enabling a broader community of contributors (e.g. data analysts) in analytics efforts
• Experience with Product-Centric, agile delivery
• Experience applying CI/CD best practices in an analytics context
• Bonus skills that are a plus:
• Familiarity with data pipeline tools such as DBT, Fivetran, Stitch, Boomi, LogicApps
• Business intelligence (BI) tools experience (Tableau, PowerBI, metabase, etc)
  Hiring range: $195,000 to $225,000 USD Annual
  At Patagonia, pay ranges are assigned to a job based on the location specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

Leadership and Team Development:

• Develop and nurture a high-performing AI team
• Guide & develop analysts across the company on advanced analytical opportunities and methods
• Set hiring standards, mentor team members, and foster a collaborative culture
• Build partnerships with consulting partners to help augment your internal team

Vision and Strategy:

• Create and oversee the adoption of the AI vision across departments.
• Collaborate with executives and stakeholders to align initiatives with business goals.

Products & Insights:

• Drive insights across many domains including purpose, circularity, finance, strategy, customer, product, planning, merchandising, supply chain, and beyond
• Deliver products & insights that directly power key decisions using statistical models, data mining, and machine learning algorithms

Strategic Guidance:

• Provide overall direction for advanced analytics efforts, ensuring alignment with organizational objectives
• Identify opportunities for innovation and growth through data-driven insights.

Build:

• Drive requirements & needs for the AI Platform, balancing value & cost within our entire data & analytics ecosystem
• Collaborate on the development & management of said platform with engineering and architecture partners