Principal Product Manager, Analytical Data

Levi Strauss•San Francisco, CA

20h•Hybrid

About The Position

Levi Strauss & Co. is seeking a visionary Principal Product Manager to lead the transformation of the data landscape at LS&Co. You will be responsible for architecting the future of our data ecosystem: unifying fragmented data sources into a single, trusted warehouse and unlocking its power through intuitive reporting, scalable self-service tools, and a vibrant analytical community. Your work will empower teams across the globe to make smarter, faster decisions and will serve as the foundation for innovation in every corner of the business, from merchandising and marketing to supply chain and sustainability. This role blends strategy, design, and execution. You'll partner closely with engineering, analytics, and business leaders to define the roadmap, prioritize investments, and deliver data products that are not only technically sound but deeply impactful. You'll be the champion of data activation—ensuring that insights are accessible, actionable, and aligned to our company's values and goals. If you're passionate about building elegant data experiences, driving enterprise-wide change, and leaving a legacy of data excellence, we'd love to meet you.

Requirements

10+ years of experience in product management, with a strong focus on data platforms, analytics, or enterprise data products.
Deep understanding of modern data architectures including cloud data warehouses (GCP preferred), data mesh, and data lake concepts.
Experience with data migrations, report rationalization, and KPI standardization across large organizations.
Experience with data governance, metadata management, and building scalable self-service analytics environments.
Strong track record of driving cross-functional alignment across engineering, analytics, and business teams.
Comfortable navigating complex trade-offs and making strategic decisions that balance technical feasibility, user experience, and business impact.
Curiosity and customer empathy are essential.

Nice To Haves

Retail or apparel experience is a bonus.

Responsibilities

Architecting the future of our data ecosystem: unifying fragmented data sources into a single, trusted warehouse.
Unlocking data power through intuitive reporting, scalable self-service tools, and a vibrant analytical community.
Empowering teams across the globe to make smarter, faster decisions.
Serving as the foundation for innovation in every corner of the business, from merchandising and marketing to supply chain and sustainability.
Defining the roadmap, prioritizing investments, and delivering data products.
Championing data activation—ensuring that insights are accessible, actionable, and aligned to our company's values and goals.
Building analytical communities and fostering a culture of data literacy and empowerment.
Translating technical concepts into business value and inspiring stakeholders at all levels.