Manager, Global Data & Analytics

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. Summary of the role: The Manager, Global Data & Analytics serves as a technical analytics leader within the Global Data organization, responsible for designing, building, and scaling enterprise analytics solutions that empower business teams across Merchandise Planning, Inventory Management, Operations, Supply Chain, and Merchandising. This role combines people leadership with strong hands-on analytical execution. The individual will lead a team of analysts while actively contributing to data modeling, analytics solution design, dashboard development, and advanced analytical problem-solving using modern cloud data platforms. This is not a pure people-management role. The successful candidate is expected to remain deeply engaged in technical delivery, architecture discussions, data modeling, SQL development, dashboard engineering, and analytical problem-solving while leading a high-performing analytics team.

Key Responsibilities Develop and maintain scalable analytics solutions that provide global visibility into planning, inventory, merchandising, and operational performance. Lead the design and implementation of enterprise reporting and self-service analytics capabilities using Looker and Google Cloud Platform technologies. Partner with business and technology stakeholders to translate business requirements into actionable analytics products and data solutions. Establish best practices for data modeling, metric definitions, dashboard governance, and analytics engineering. Enable data-driven decision making through descriptive, diagnostic, predictive, and prescriptive analytics. Drive consistency, quality, and trust in enterprise data assets through rigorous validation and governance processes. Mentor and develop a team of analysts while remaining actively involved in technical delivery and solution development. Leverage AI and advanced analytics capabilities to improve planning, inventory investment, forecasting, and operational decision-making. Analytics Solution Development Design, build, and maintain enterprise dashboards, scorecards, and reporting solutions supporting key business processes and executive decision-making. Develop scalable semantic models, curated datasets, and reusable analytics assets to support self-service reporting. Deliver analytics solutions using Looker, BigQuery, SQL, and Google Cloud Platform technologies. Partner with Data Engineering teams to define data requirements, optimize data structures, and improve analytical performance. Perform hands-on analysis of complex business problems and provide actionable recommendations supported by data. Technical Leadership Serve as the technical lead for analytics initiatives across planning, inventory management, merchandising, and operations. Establish standards and best practices for dashboard design, KPI development, metric governance, and analytics engineering. Drive adoption of modern analytics practices including cloud-native reporting, automated insights, data product development, and AI-enabled analytics. Support architecture reviews and analytics solution design decisions to ensure scalability, maintainability, and performance. Champion data quality and ensure analytics outputs are accurate, consistent, and trusted by business stakeholders. Hands-On Analytics & Engineering Write and optimize complex SQL queries to support reporting, analytics, and ad hoc business requests. Develop data models and analytical datasets within BigQuery to support scalable enterprise reporting. Build and enhance Looker explores, dashboards, and semantic models. Perform root cause analysis and deep dives into business