Patagonia is looking to leverage AI to power its purpose of saving the home planet. The company aims to build a technology organization that blends industry and technical skills with a passion for solving unsolved problems for the greater good. The Head of AI will be responsible for creating and driving a multi-year AI strategy, building an AI organization, enhancing the data-powered culture, and driving technical platform requirements to support these efforts.
Requirements
- 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 with multiple applied retail advanced analytics problems such as Forecasting, NLP, Image Recognition, Clustering and Segmentation, Optimization & Attribution
- Familiarity with GenAI concepts, models and platforms
- Experience enabling a broader community of contributors (e.g. data analysts) in analytics efforts
- Experience applying CI/CD best practices in an analytics context
Responsibilities
- 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
- 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
- Drive the technical platform requirements & features needed to support these efforts.
- Deliver products & insights that directly power key decisions using statistical models, data mining, and machine learning algorithms
- 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
Other
- 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
- Create and oversee the adoption of the AI vision across departments.
