Levi Strauss & Co. is transforming into a fan-obsessed, world-class retailer and needs a leader to power the business with data, creating value for customers and partners through data-driven transformation
Requirements
- Experience in designing and managing large-scale, modern cloud-based data platforms, with a preference for experience on Google Cloud
- Expertise in delivering Data as a Product, including defining and managing SLOs for data availability, freshness, and accuracy
- Experience with the retail industry, including business processes, important metrics, and the unique challenges of a retail environment
- Deep technical expertise in modern data concepts like Data Mesh
- Understanding of AI-powered conversational analytics
- Experience with site reliability engineering (SRE) and incident management
- Experience with Google Cloud infrastructure
Responsibilities
- Lead a team of three leaders and ~40 people across the Retail Data Domain, SRE, and Incident Management tasks
- Collaborate with technology product teams, executives, and store teams to deliver applicable insights across the organization
- Guide insights beyond dashboards through AI-powered conversational analytics and clear goal explanations
- Lead the delivery of retail data products, defining and ensuring adherence to SLOs for data availability, freshness, and accuracy
- Oversee the SRE team responsible for the reliability, scalability, and performance of our entire Data and AI platform infrastructure in Google Cloud
- Lead the global incident management process for all data and AI systems, ensuring rapid response, resolution, and minimal business disruption
- Develop and implement best practices for incident communication, post-mortems, and preventative measures to improve system reliability
Other
- Experience in a senior leadership role with experience managing other managers and leading leaders in a technical environment
- Ability to engage with partners at every level, from the boardroom to the store floor
- Champion a culture of innovation, reliability, and data-driven decision-making across a geographically distributed organization
- Full-time employment
- Remote work in the USA
- Bachelor's degree or equivalent experience (not explicitly mentioned but implied)
